2022

  • Christian Reuter, Marc-André Kaufhold (2022)
    Crisis Informatics
    In: Zheng Yan: Cambridge Handbook of Cyber Behavior. Cambridge University Press.
    [BibTeX] [Abstract]

    In summary, crisis informatics has established itself as an important research area in the ever-increasing complexity of the cyber world. Its importance is further amplified by the time-critical constraints of emergencies and disasters. However, crisis informatics will be challenged to evolve quickly to tackle global-scale emergencies, such as the ongoing COVID-19 pandemic and the increasing risks of natural hazards due to climate change. This chapter seeks to supplement this effort by analyzing interaction, role, information, and perception patterns, which were prevalent in the past 20 years of social media use in crises.

    @incollection{reuter_crisis_2022,
    title = {Crisis {Informatics}},
    abstract = {In summary, crisis informatics has established itself as an important research area in the ever-increasing complexity of the cyber world. Its importance is further amplified by the time-critical constraints of emergencies and disasters. However, crisis informatics will be challenged to evolve quickly to tackle global-scale emergencies, such as the ongoing COVID-19 pandemic and the increasing risks of natural hazards due to climate change. This chapter seeks to supplement this effort by analyzing interaction, role, information, and perception patterns, which were prevalent in the past 20 years of social media use in crises.},
    booktitle = {Cambridge {Handbook} of {Cyber} {Behavior}},
    publisher = {Cambridge University Press},
    author = {Reuter, Christian and Kaufhold, Marc-André},
    editor = {Yan, Zheng},
    year = {2022},
    keywords = {Crisis, Projekt-CYWARN, HCI, Peace, Projekt-ATHENE-FANCY, Projekt-emergenCITY},
    }

    2021

  • Philipp Kuehn, Markus Bayer, Marc Wendelborn, Christian Reuter (2021)
    OVANA: An Approach to Analyze and Improve the Information Quality of Vulnerability Databases
    Proceedings of the 16th International Conference on Availability, Reliability and Security . doi:10.1145/3465481.3465744
    [BibTeX] [Abstract] [Download PDF]

    Vulnerability databases are one of the main information sources for IT security experts. Hence, the quality of their information is of utmost importance for anyone working in this area. Previous work has shown that machine readable information is either missing, incorrect, or inconsistent with other data sources. In this paper, we introduce a system called Overt Vulnerability source ANAlysis (OVANA), utilizing state-of-the-art machine learning (ML) and natural-language processing (NLP) techniques, which analyzes the information quality (IQ) of vulnerability databases, searches the free-form description for relevant information missing from structured fields, and updates it accordingly. Our paper shows that OVANA is able to improve the IQ of the National Vulnerability Database by 51.23\% based on the indicators of accuracy, completeness, and uniqueness. Moreover, we present information which should be incorporated into the structured fields to increase the uniqueness of vulnerability entries and improve the discriminability of different vulnerability entries. The identified information from OVANA enables a more targeted vulnerability search and provides guidance for IT security experts in finding relevant information in vulnerability descriptions for severity assessment.

    @inproceedings{kuehn_ovana_2021,
    title = {{OVANA}: {An} {Approach} to {Analyze} and {Improve} the {Information} {Quality} of {Vulnerability} {Databases}},
    isbn = {978-1-4503-9051-4},
    url = {https://doi.org/10.1145/3465481.3465744},
    doi = {10.1145/3465481.3465744},
    abstract = {Vulnerability databases are one of the main information sources for IT security experts. Hence, the quality of their information is of utmost importance for anyone working in this area. Previous work has shown that machine readable information is either missing, incorrect, or inconsistent with other data sources. In this paper, we introduce a system called Overt Vulnerability source ANAlysis (OVANA), utilizing state-of-the-art machine learning (ML) and natural-language processing (NLP) techniques, which analyzes the information quality (IQ) of vulnerability databases, searches the free-form description for relevant information missing from structured fields, and updates it accordingly. Our paper shows that OVANA is able to improve the IQ of the National Vulnerability Database by 51.23\% based on the indicators of accuracy, completeness, and uniqueness. Moreover, we present information which should be incorporated into the structured fields to increase the uniqueness of vulnerability entries and improve the discriminability of different vulnerability entries. The identified information from OVANA enables a more targeted vulnerability search and provides guidance for IT security experts in finding relevant information in vulnerability descriptions for severity assessment.},
    booktitle = {Proceedings of the 16th {International} {Conference} on {Availability}, {Reliability} and {Security}},
    publisher = {ACM},
    author = {Kuehn, Philipp and Bayer, Markus and Wendelborn, Marc and Reuter, Christian},
    year = {2021},
    keywords = {Projekt-ATHENE-SecUrban, Projekt-CYWARN, Security, Ranking-CORE-B},
    pages = {1--11},
    }

  • Christian Reuter, Marc-André Kaufhold (2021)
    Informatik für Frieden-, Konflikt- und Sicherheitsforschung
    In: Christian ReuterSicherheitskritische Mensch-Computer-Interaktion: Interaktive Technologien und Soziale Medien im Krisen- und Sicherheitsmanagement (Zweite Auflage). 2 ed. Wiesbaden, Germany: Springer Vieweg, , 605–630.
    [BibTeX] [Abstract] [Download PDF]

    Seit jeher hatten die Erkenntnisse aus Naturwissenschaft und Technik einen großen Einfluss auf die Art und Weise, wie Kriege und Konflikte ausgetragen wurden bezie-hungsweise werden. Im Kontext von Frieden und Sicherheit können Erkenntnisse, die eigentlich für zivile Kontexte gewonnen wurden, auch für militärische Auseinanderset-zungen genutzt werden (Dual-Use-Problematik). Seit einigen Jahren betrifft dies insbe-sondere die Informatik, die durch die militärische Nutzung von Computern, Cyberwar, Cyberspionage Information Warfare, aber auch in Bereichen wie Desinformationen kon-fliktäre Auseinandersetzungen unterstützen (und verstärken) kann. Auch werden Kon-flikte vermehrt im digitalen Raum ausgetragen, mit erschwerter Zuordnungsmöglichkeit von einzelnen (angreifenden) Akteur*innen. Im Gegenzug dazu bietet die Informatik jedoch auch für friedensstiftende Aktivitäten zahlreiche Einsatzmöglichkeiten. Dieses Kapitel möchte eine Einführung in die zunehmend an Bedeutung gewinnende Thematik liefern.

    @incollection{reuter_informatik_2021,
    address = {Wiesbaden, Germany},
    edition = {2},
    title = {Informatik für {Frieden}-, {Konflikt}- und {Sicherheitsforschung}},
    isbn = {978-3-658-32794-1},
    url = {https://doi.org/10.1007/978-3-658-32795-8_28},
    abstract = {Seit jeher hatten die Erkenntnisse aus Naturwissenschaft und Technik einen großen Einfluss auf die Art und Weise, wie Kriege und Konflikte ausgetragen wurden bezie-hungsweise werden. Im Kontext von Frieden und Sicherheit können Erkenntnisse, die eigentlich für zivile Kontexte gewonnen wurden, auch für militärische Auseinanderset-zungen genutzt werden (Dual-Use-Problematik). Seit einigen Jahren betrifft dies insbe-sondere die Informatik, die durch die militärische Nutzung von Computern, Cyberwar, Cyberspionage Information Warfare, aber auch in Bereichen wie Desinformationen kon-fliktäre Auseinandersetzungen unterstützen (und verstärken) kann. Auch werden Kon-flikte vermehrt im digitalen Raum ausgetragen, mit erschwerter Zuordnungsmöglichkeit von einzelnen (angreifenden) Akteur*innen. Im Gegenzug dazu bietet die Informatik jedoch auch für friedensstiftende Aktivitäten zahlreiche Einsatzmöglichkeiten. Dieses Kapitel möchte eine Einführung in die zunehmend an Bedeutung gewinnende Thematik liefern.},
    booktitle = {Sicherheitskritische {Mensch}-{Computer}-{Interaktion}: {Interaktive} {Technologien} und {Soziale} {Medien} im {Krisen}- und {Sicherheitsmanagement} ({Zweite} {Auflage})},
    publisher = {Springer Vieweg},
    author = {Reuter, Christian and Kaufhold, Marc-André},
    editor = {Reuter, Christian},
    year = {2021},
    keywords = {Projekt-CYWARN, Security, Peace, Projekt-DualUse},
    pages = {605--630},
    }

  • Rolf Egert, Nina Gerber, Jasmin Haunschild, Philipp Kuehn, Zimmermann Verena (2021)
    Towards Resilient Critical Infrastructures – Motivating Users to Contribute to Smart Grid Resilience
    i-com – Journal of Interactive Media .
    [BibTeX] [Abstract]

    Smart cities aim at improving efficiency while providing safety and security by merging conventional infrastructures with information and communication technology. One strategy for mitigating hazardous situations and improving the overall resilience of the system is to involve citizens. For instance, smart grids involve prosumers – capable of producing and consuming electricity – who can adjust their electricity profile dynamically (i.e., decrease or increase electricity consumption), or use their local production to supply electricity to the grid. This mitigates the impact of peak-consumption periods on the grid and makes it easier for operators to control the grid. This involvement of prosumers is accompanied by numerous socio-technical challenges, including motivating citizens to contribute by adjusting their electricity consumption to the requirements of the energy grid. Towards this end, this work investigates motivational strategies and tools, including nudging, persuasive technologies, and incentives, that can be leveraged to increase the motivation of citizens. We discuss long-term and side effects and ethical and privacy considerations, before portraying bug bounty programs, gamification and apps as technologies and strategies to communicate the motivational strategies to citizens.

    @article{egert_towards_2021,
    title = {Towards {Resilient} {Critical} {Infrastructures} - {Motivating} {Users} to {Contribute} to {Smart} {Grid} {Resilience}},
    abstract = {Smart cities aim at improving efficiency while providing safety and security by merging conventional infrastructures with information and communication technology. One strategy for mitigating hazardous situations and improving the overall resilience of the system is to involve citizens. For instance, smart grids involve prosumers - capable of producing and consuming electricity - who can adjust their electricity profile dynamically (i.e., decrease or increase electricity consumption), or use their local production to supply electricity to the grid. This mitigates the impact of peak-consumption periods on the grid and makes it easier for operators to control the grid. This involvement of prosumers is accompanied by numerous socio-technical challenges, including motivating citizens to contribute by adjusting their electricity consumption to the requirements of the energy grid. Towards this end, this work investigates motivational strategies and tools, including nudging, persuasive technologies, and incentives, that can be leveraged to increase the motivation of citizens. We discuss long-term and side effects and ethical and privacy considerations, before portraying bug bounty programs, gamification and apps as technologies and strategies to communicate the motivational strategies to citizens.},
    journal = {i-com - Journal of Interactive Media},
    author = {Egert, Rolf and Gerber, Nina and Haunschild, Jasmin and Kuehn, Philipp and Verena, Zimmermann},
    year = {2021},
    keywords = {Projekt-ATHENE-SecUrban, Projekt-CYWARN, Security, Infrastructure, Projekt-emergenCITY},
    }

  • Thea Riebe, Tristan Wirth, Markus Bayer, Philipp Kuehn, Marc-André Kaufhold, Volker Knauthe, Stefan Guthe, Christian Reuter (2021)
    CySecAlert: An Alert Generation System for Cyber Security Events Using Open Source Intelligence Data
    Information and Communications Security . doi:10.1007/978-3-030-86890-1_24
    [BibTeX] [Abstract] [Download PDF]

    Receiving relevant information on possible cyber threats, attacks, and data breaches in a timely manner is crucial for early response. The social media platform Twitter hosts an active cyber security community. Their activities are often monitored manually by security experts, such as Computer Emergency Response Teams (CERTs). We thus propose a Twitter-based alert generation system that issues alerts to a system operator as soon as new relevant cyber security related topics emerge. Thereby, our system allows us to monitor user accounts with significantly less workload. Our system applies a supervised classifier, based on active learning, that detects tweets containing relevant information. The results indicate that uncertainty sampling can reduce the amount of manual relevance classification effort and enhance the classifier performance substantially compared to random sampling. Our approach reduces the number of accounts and tweets that are needed for the classifier training, thus making the tool easily and rapidly adaptable to the specific context while also supporting data minimization for Open Source Intelligence (OSINT). Relevant tweets are clustered by a greedy stream clustering algorithm in order to identify significant events. The proposed system is able to work near real-time within the required 15-minutes time frame and detects up to 93.8\% of relevant events with a false alert rate of 14.81\%.

    @inproceedings{riebe_cysecalert_2021,
    title = {{CySecAlert}: {An} {Alert} {Generation} {System} for {Cyber} {Security} {Events} {Using} {Open} {Source} {Intelligence} {Data}},
    url = {https://link.springer.com/chapter/10.1007/978-3-030-86890-1_24},
    doi = {10.1007/978-3-030-86890-1_24},
    abstract = {Receiving relevant information on possible cyber threats, attacks, and data breaches in a timely manner is crucial for early response. The social media platform Twitter hosts an active cyber security community. Their activities are often monitored manually by security experts, such as Computer Emergency Response Teams (CERTs). We thus propose a Twitter-based alert generation system that issues alerts to a system operator as soon as new relevant cyber security related topics emerge. Thereby, our system allows us to monitor user accounts with significantly less workload. Our system applies a supervised classifier, based on active learning, that detects tweets containing relevant information. The results indicate that uncertainty sampling can reduce the amount of manual relevance classification effort and enhance the classifier performance substantially compared to random sampling. Our approach reduces the number of accounts and tweets that are needed for the classifier training, thus making the tool easily and rapidly adaptable to the specific context while also supporting data minimization for Open Source Intelligence (OSINT). Relevant tweets are clustered by a greedy stream clustering algorithm in order to identify significant events. The proposed system is able to work near real-time within the required 15-minutes time frame and detects up to 93.8\% of relevant events with a false alert rate of 14.81\%.},
    booktitle = {Information and {Communications} {Security}},
    author = {Riebe, Thea and Wirth, Tristan and Bayer, Markus and Kuehn, Philipp and Kaufhold, Marc-André and Knauthe, Volker and Guthe, Stefan and Reuter, Christian},
    year = {2021},
    keywords = {Projekt-ATHENE-SecUrban, Projekt-CYWARN, Security, Student, UsableSec, Ranking-CORE-B},
    pages = {429--446},
    }

  • Thea Riebe, Marc-André Kaufhold, Christian Reuter (2021)
    The Impact of Organizational Structure and Technology Use on Collaborative Practices in Computer Emergency Response Teams: An Empirical Study
    Proceedings of the ACM: Human Computer Interaction (PACM): Computer-Supported Cooperative Work and Social Computing ;5(CSCW2). doi:10.1145/3479865
    [BibTeX] [Abstract] [Download PDF]

    Besides the merits of increasing digitization and interconnectedness in private and professional spaces, critical infrastructures and societies are more and more exposed to cyberattacks. In order to enhance the preventative and reactive capabilities against cyberattacks, Computer Emergency Response Teams (CERTs) are deployed in many countries and organizations. In Germany, CERTs in the public sector operate on federal and state level to provide information security services for authorities, citizens, and enterprises. Their tasks of monitoring, analyzing, and communicating threats and incidents is getting more complex due to the increasing amount of information disseminated into public channels. By adopting the perspectives of Computer-Supported Cooperative Work (CSCW) and Crisis Informatics, we contribute to the study of organizational structures, technology use, and the impact on collaborative practices in and between state CERTs with empirical research based on expert interviews with representatives of German state CERTs (N=15) and supplementary document analyses (N=25). We derive design and policy implications from our findings, including the need for interoperable and modular architecture, a shift towards service level agreements, cross-platform monitoring and analysis of incident data, use of deduplication techniques and standardized threat exchange formats, a reduction of resource costs through process automation, and transparent reporting and tool structures for information exchange.

    @article{riebe_impact_2021,
    title = {The {Impact} of {Organizational} {Structure} and {Technology} {Use} on {Collaborative} {Practices} in {Computer} {Emergency} {Response} {Teams}: {An} {Empirical} {Study}},
    volume = {5},
    url = {http://www.peasec.de/paper/2021/2021_RiebeKaufholdReuter_ComputerEmegencyResponseTeams_CSCW.pdf},
    doi = {10.1145/3479865},
    abstract = {Besides the merits of increasing digitization and interconnectedness in private and professional spaces, critical infrastructures and societies are more and more exposed to cyberattacks. In order to enhance the preventative and reactive capabilities against cyberattacks, Computer Emergency Response Teams (CERTs) are deployed in many countries and organizations. In Germany, CERTs in the public sector operate on federal and state level to provide information security services for authorities, citizens, and enterprises. Their tasks of monitoring, analyzing, and communicating threats and incidents is getting more complex due to the increasing amount of information disseminated into public channels. By adopting the perspectives of Computer-Supported Cooperative Work (CSCW) and Crisis Informatics, we contribute to the study of organizational structures, technology use, and the impact on collaborative practices in and between state CERTs with empirical research based on expert interviews with representatives of German state CERTs (N=15) and supplementary document analyses (N=25). We derive design and policy implications from our findings, including the need for interoperable and modular architecture, a shift towards service level agreements, cross-platform monitoring and analysis of incident data, use of deduplication techniques and standardized threat exchange formats, a reduction of resource costs through process automation, and transparent reporting and tool structures for information exchange.},
    number = {CSCW2},
    journal = {Proceedings of the ACM: Human Computer Interaction (PACM): Computer-Supported Cooperative Work and Social Computing},
    author = {Riebe, Thea and Kaufhold, Marc-André and Reuter, Christian},
    year = {2021},
    keywords = {Crisis, Projekt-ATHENE-SecUrban, Projekt-CYWARN, Projekt-KontiKat, Security, UsableSec, A-Paper, Ranking-CORE-A, AuswahlUsableSec},
    }

  • Marc-André Kaufhold, Jennifer Fromm, Thea Riebe, Milad Mirbabaie, Philipp Kuehn, Ali Sercan Basyurt, Markus Bayer, Marc Stöttinger, Kaan Eyilmez, Reinhard Möller, Christoph Fuchß, Stefan Stieglitz, Christian Reuter (2021)
    CYWARN: Strategy and Technology Development for Cross-Platform Cyber Situational Awareness and Actor-Specific Cyber Threat Communication
    Workshop-Proceedings Mensch und Computer .
    [BibTeX] [Download PDF]

    @inproceedings{kaufhold_cywarn_2021,
    title = {{CYWARN}: {Strategy} and {Technology} {Development} for {Cross}-{Platform} {Cyber} {Situational} {Awareness} and {Actor}-{Specific} {Cyber} {Threat} {Communication}},
    url = {http://www.peasec.de/paper/2021/2021_Kaufholdetal_CYWARN-CyberSituationalAwareness_MuC-WS.pdf},
    booktitle = {Workshop-{Proceedings} {Mensch} und {Computer}},
    author = {Kaufhold, Marc-André and Fromm, Jennifer and Riebe, Thea and Mirbabaie, Milad and Kuehn, Philipp and Basyurt, Ali Sercan and Bayer, Markus and Stöttinger, Marc and Eyilmez, Kaan and Möller, Reinhard and Fuchß, Christoph and Stieglitz, Stefan and Reuter, Christian},
    year = {2021},
    keywords = {Projekt-CYWARN, Security},
    }

  • Jasmin Haunschild, Christian Reuter (2021)
    Perceptions of Police Technology Use and Attitudes Towards the Police – A Representative Survey of the German Population
    Workshop-Proceedings Mensch und Computer .
    [BibTeX] [Download PDF]

    @inproceedings{haunschild_perceptions_2021,
    title = {Perceptions of {Police} {Technology} {Use} and {Attitudes} {Towards} the {Police} - {A} {Representative} {Survey} of the {German} {Population}},
    url = {http://www.peasec.de/paper/2021/2021_HaunschildReuter_PoliceTechnologyUseSurvey_MuC-WS.pdf},
    booktitle = {Workshop-{Proceedings} {Mensch} und {Computer}},
    author = {Haunschild, Jasmin and Reuter, Christian},
    year = {2021},
    keywords = {Projekt-ATHENE-SecUrban, Projekt-CYWARN, Security, Projekt-emergenCITY},
    }

  • Marc-André Kaufhold, Markus Bayer, Daniel Hartung, Christian Reuter (2021)
    Design and Evaluation of Deep Learning Models for Real-Time Credibility Assessment in Twitter
    30th International Conference on Artificial Neural Networks (ICANN2021) Bratislava. doi:https://doi.org/10.1007/978-3-030-86383-8_32
    [BibTeX] [Abstract] [Download PDF]

    Social media have an enormous impact on modern life but are prone to the dissemination of false information. In several domains, such as crisis management or political communication, it is of utmost importance to detect false and to promote credible information. Although educational measures might help individuals to detect false information, the sheer volume of social big data, which sometimes need to be anal- ysed under time-critical constraints, calls for automated and (near) real- time assessment methods. Hence, this paper reviews existing approaches before designing and evaluating three deep learning models (MLP, RNN, BERT) for real-time credibility assessment using the example of Twitter posts. While our BERT implementation achieved best results with an accuracy of up to 87.07\% and an F1 score of 0.8764 when using meta- data, text, and user features, MLP and RNN showed lower classification quality but better performance for real-time application. Furthermore, the paper contributes with a novel dataset for credibility assessment.

    @inproceedings{kaufhold_design_2021,
    address = {Bratislava},
    title = {Design and {Evaluation} of {Deep} {Learning} {Models} for {Real}-{Time} {Credibility} {Assessment} in {Twitter}},
    url = {http://www.peasec.de/paper/2021/2021_KaufholdBayerHartungReuter_DeepLearningCredibilityAssessmentTwitter_ICANN.pdf},
    doi = {https://doi.org/10.1007/978-3-030-86383-8_32},
    abstract = {Social media have an enormous impact on modern life but are prone to the dissemination of false information. In several domains, such as crisis management or political communication, it is of utmost importance to detect false and to promote credible information. Although educational measures might help individuals to detect false information, the sheer volume of social big data, which sometimes need to be anal- ysed under time-critical constraints, calls for automated and (near) real- time assessment methods. Hence, this paper reviews existing approaches before designing and evaluating three deep learning models (MLP, RNN, BERT) for real-time credibility assessment using the example of Twitter posts. While our BERT implementation achieved best results with an accuracy of up to 87.07\% and an F1 score of 0.8764 when using meta- data, text, and user features, MLP and RNN showed lower classification quality but better performance for real-time application. Furthermore, the paper contributes with a novel dataset for credibility assessment.},
    booktitle = {30th {International} {Conference} on {Artificial} {Neural} {Networks} ({ICANN2021})},
    author = {Kaufhold, Marc-André and Bayer, Markus and Hartung, Daniel and Reuter, Christian},
    year = {2021},
    keywords = {Projekt-ATHENE-SecUrban, Projekt-CYWARN, Security, Student, Ranking-CORE-B},
    pages = {1--13},
    }

  • Christian Reuter, Konstantin Aal, Frank Beham, Alexander Boden, Florian Brauner, Thomas Ludwig, Stephan Lukosch, Frank Fiedrich, Frank Fuchs-Kittowski, Stefan Geisler, Klaus Gennen, Dominik Herrmann, Marc-André Kaufhold, Michael Klafft, Myriam Lipprandt, Luigi Lo Iacono, Volkmar Pipek, Tilo Mentler, Simon Nestler, Jens Pottebaum, Sven Quadflieg, Stefan Stieglitz, Christian Sturm, Gebhard Rusch, Stefan Sackmann, Melanie Volkamer, Volker Wulf (2021)
    Die Zukunft sicherheitskritischer Mensch-Computer-Interaktion
    In: Christian ReuterSicherheitskritische Mensch-Computer-Interaktion: Interaktive Technologien und Soziale Medien im Krisen- und Sicherheitsmanagement (2. Auflage). 2 ed. Wiesbaden, Germany: Springer Vieweg, , 673–681.
    [BibTeX] [Abstract] [Download PDF]

    Sicherheitskritische Mensch-Computer-Interaktion ist nicht nur derzeit ein hochaktuel-les Thema, sondern wird dies auch in Zukunft bleiben. Insofern ist ein Lehr- und Fach-buch wie dieses immer nur eine Momentaufnahme, und kann immer nur einen punktuel-len Stand abdecken. Dennoch kann der Versuch unternommen werden, aktuelle Trends zu identifizieren und einen Ausblick in die Zukunft zu wagen. Genau das möchte dieses Kapitel erreichen: Es sollen zukünftige Entwicklungen vorausgesagt und versucht wer-den, diese korrekt einzuordnen. Das ist an dieser Stelle nicht nur durch den Herausgeber, sondern durch Abfrage bei zahlreichen am Lehrbuch beteiligten Autor*innen geschehen. Neben einem Ausblick auf Grundlagen und Methoden werden dementsprechend auch sicherheitskritische interaktive Systeme und sicherheitskritische kooperative Systeme abgedeckt.

    @incollection{reuter_zukunft_2021,
    address = {Wiesbaden, Germany},
    edition = {2},
    title = {Die {Zukunft} sicherheitskritischer {Mensch}-{Computer}-{Interaktion}},
    isbn = {978-3-658-19523-6},
    url = {https://doi.org/10.1007/978-3-658-32795-8_31},
    abstract = {Sicherheitskritische Mensch-Computer-Interaktion ist nicht nur derzeit ein hochaktuel-les Thema, sondern wird dies auch in Zukunft bleiben. Insofern ist ein Lehr- und Fach-buch wie dieses immer nur eine Momentaufnahme, und kann immer nur einen punktuel-len Stand abdecken. Dennoch kann der Versuch unternommen werden, aktuelle Trends zu identifizieren und einen Ausblick in die Zukunft zu wagen. Genau das möchte dieses Kapitel erreichen: Es sollen zukünftige Entwicklungen vorausgesagt und versucht wer-den, diese korrekt einzuordnen. Das ist an dieser Stelle nicht nur durch den Herausgeber, sondern durch Abfrage bei zahlreichen am Lehrbuch beteiligten Autor*innen geschehen. Neben einem Ausblick auf Grundlagen und Methoden werden dementsprechend auch sicherheitskritische interaktive Systeme und sicherheitskritische kooperative Systeme abgedeckt.},
    booktitle = {Sicherheitskritische {Mensch}-{Computer}-{Interaktion}: {Interaktive} {Technologien} und {Soziale} {Medien} im {Krisen}- und {Sicherheitsmanagement} (2. {Auflage})},
    publisher = {Springer Vieweg},
    author = {Reuter, Christian and Aal, Konstantin and Beham, Frank and Boden, Alexander and Brauner, Florian and Ludwig, Thomas and Lukosch, Stephan and Fiedrich, Frank and Fuchs-Kittowski, Frank and Geisler, Stefan and Gennen, Klaus and Herrmann, Dominik and Kaufhold, Marc-André and Klafft, Michael and Lipprandt, Myriam and Lo Iacono, Luigi and Pipek, Volkmar and Mentler, Tilo and Nestler, Simon and Pottebaum, Jens and Quadflieg, Sven and Stieglitz, Stefan and Sturm, Christian and Rusch, Gebhard and Sackmann, Stefan and Volkamer, Melanie and Wulf, Volker},
    editor = {Reuter, Christian},
    year = {2021},
    note = {https://doi.org/10.1007/978-3-658-32795-8\_31},
    keywords = {Crisis, Projekt-CYWARN, Projekt-KontiKat, HCI, Security, UsableSec, SocialMedia},
    pages = {673--681},
    }

  • Markus Bayer, Marc-André Kaufhold, Björn Buchhold, Marcel Keller, Jörg Dallmeyer, Christian Reuter (2021)
    Data Augmentation in Natural Language Processing: A Novel Text Generation Approach for Long and Short Text Classifiers
    2021.
    [BibTeX] [Abstract] [Download PDF]

    In many cases of machine learning, research suggests that the development of training data might have a higher relevance than the choice and modelling of classifiers themselves. Thus, data augmentation methods have been developed to improve classifiers by artificially created training data. In NLP, there is the challenge of establishing universal rules for text transformations which provide new linguistic patterns. In this paper, we present and evaluate a text generation method suitable to increase the performance of classifiers for long and short texts. We achieved promising improvements when evaluating short as well as long text tasks with the enhancement by our text generation method. In a simulated low data regime additive accuracy gains of up to 15.53\% are achieved. As the current track of these constructed regimes is not universally applicable, we also show major improvements in several real world low data tasks (up to +4.84 F1 score). Since we are evaluating the method from many perspectives, we also observe situations where the method might not be suitable. We discuss implications and patterns for the successful application of our approach on different types of datasets.

    @techreport{bayer_data_2021,
    title = {Data {Augmentation} in {Natural} {Language} {Processing}: {A} {Novel} {Text} {Generation} {Approach} for {Long} and {Short} {Text} {Classifiers}},
    url = {https://arxiv.org/abs/2103.14453},
    abstract = {In many cases of machine learning, research suggests that the development of training data might have a higher relevance than the choice and modelling of classifiers themselves. Thus, data augmentation methods have been developed to improve classifiers by artificially created training data. In NLP, there is the challenge of establishing universal rules for text transformations which provide new linguistic patterns. In this paper, we present and evaluate a text generation method suitable to increase the performance of classifiers for long and short texts. We achieved promising improvements when evaluating short as well as long text tasks with the enhancement by our text generation method. In a simulated low data regime additive accuracy gains of up to 15.53\% are achieved. As the current track of these constructed regimes is not universally applicable, we also show major improvements in several real world low data tasks (up to +4.84 F1 score). Since we are evaluating the method from many perspectives, we also observe situations where the method might not be suitable. We discuss implications and patterns for the successful application of our approach on different types of datasets.},
    author = {Bayer, Markus and Kaufhold, Marc-André and Buchhold, Björn and Keller, Marcel and Dallmeyer, Jörg and Reuter, Christian},
    year = {2021},
    keywords = {Projekt-CYWARN},
    }

  • Tilo Mentler, Christian Reuter, Simon Nestler, Marc-André Kaufhold, Michael Herczeg, Jens Pottebaum (2021)
    8. Workshop Mensch-Maschine-Interaktion in sicherheitskritischen Systemen: Ausnahmezustand
    Ingolstadt. doi:10.18420/muc2021-mci-ws08-117
    [BibTeX] [Download PDF]

    @inproceedings{mentler_8_2021,
    address = {Ingolstadt},
    title = {8. {Workshop} {Mensch}-{Maschine}-{Interaktion} in sicherheitskritischen {Systemen}: {Ausnahmezustand}},
    url = {https://dl.gi.de/handle/20.500.12116/37338},
    doi = {10.18420/muc2021-mci-ws08-117},
    publisher = {Gesellschaft für Informatik e.V.},
    author = {Mentler, Tilo and Reuter, Christian and Nestler, Simon and Kaufhold, Marc-André and Herczeg, Michael and Pottebaum, Jens},
    year = {2021},
    keywords = {Projekt-CYWARN, HCI, Security},
    }

  • Marc-André Kaufhold (2021)
    Information Refinement Technologies for Crisis Informatics: User Expectations and Design Principles for Social Media and Mobile Apps
    Wiesbaden, Germany: Springer Vieweg. doi:10.1007/978-3-658-33341-6
    [BibTeX] [Abstract] [Download PDF]

    Marc-André Kaufhold explores user expectations and design implications for the utilization of new media in crisis management and response. He develops a novel framework for information refinement, which integrates the event, organisational, societal, and technological perspectives of crises. Therefore, he reviews the state of the art on crisis informatics and empirically examines the use, potentials and barriers of both social media and mobile apps. Based on these insights, he designs and evaluates ICT concepts and artifacts with the aim to overcome the issues of information overload and quality in large-scale crises, concluding with practical and theoretical implications for technology adaptation and design.

    @book{kaufhold_information_2021,
    address = {Wiesbaden, Germany},
    title = {Information {Refinement} {Technologies} for {Crisis} {Informatics}: {User} {Expectations} and {Design} {Principles} for {Social} {Media} and {Mobile} {Apps}},
    isbn = {978-3-658-33343-0},
    url = {https://www.springer.com/gp/book/9783658333430},
    abstract = {Marc-André Kaufhold explores user expectations and design implications for the utilization of new media in crisis management and response. He develops a novel framework for information refinement, which integrates the event, organisational, societal, and technological perspectives of crises. Therefore, he reviews the state of the art on crisis informatics and empirically examines the use, potentials and barriers of both social media and mobile apps. Based on these insights, he designs and evaluates ICT concepts and artifacts with the aim to overcome the issues of information overload and quality in large-scale crises, concluding with practical and theoretical implications for technology adaptation and design.},
    publisher = {Springer Vieweg},
    author = {Kaufhold, Marc-André},
    year = {2021},
    doi = {10.1007/978-3-658-33341-6},
    keywords = {Crisis, Projekt-ATHENE-SecUrban, Projekt-CYWARN, Projekt-KontiKat},
    }

  • Marc-André Kaufhold, Christian Reuter, Tina Comes, Milad Mirbabaie, Stefan Stieglitz (2021)
    2nd Workshop on Mobile Resilience: Designing Mobile Interactive Systems for Crisis Response
    MobileHCI ’21: 23nd International Conference on Human-Computer Interaction with Mobile Devices and Services .
    [BibTeX]

    @article{kaufhold_2nd_2021,
    title = {2nd {Workshop} on {Mobile} {Resilience}: {Designing} {Mobile} {Interactive} {Systems} for {Crisis} {Response}},
    journal = {MobileHCI '21: 23nd International Conference on Human-Computer Interaction with Mobile Devices and Services},
    author = {Kaufhold, Marc-André and Reuter, Christian and Comes, Tina and Mirbabaie, Milad and Stieglitz, Stefan},
    year = {2021},
    keywords = {Crisis, Projekt-CYWARN},
    }

  • Christian Reuter, Marc-André Kaufhold (2021)
    Soziale Medien in Notfällen, Krisen und Katastrophen
    In: Christian ReuterSicherheitskritische Mensch-Computer-Interaktion: Interaktive Technologien und Soziale Medien im Krisen- und Sicherheitsmanagement (Zweite Auflage). 2 ed. Wiesbaden, Germany: Springer Vieweg, , 407–430.
    [BibTeX] [Abstract] [Download PDF]

    Die Nutzung sozialer Medien hat sich nicht nur im Alltag, sondern auch in vielen ver-schiedenen Notfällen, Krisen und Katastrophen etabliert. Dieser Prozess begann bereits vor etwa 20 Jahren nach den Terroranschlägen vom 11. September 2001. In den darauf-folgenden Jahren, vor allem aber dem letzten Jahrzehnt, wurde eine Vielzahl von Stu-dien veröffentlicht, die sich auf den Gebrauch von Informations- und Kommunikations-technologien einschließlich der sozialen Medien vor, während oder nach Notfällen kon-zentrieren. Dieser Forschungsbereich wird auch unter dem Begriff Crisis Informatics zusammengefasst. Das Ziel dieses Kapitels ist es, den Gebrauch von und die Forschung über soziale Medien in Katastrophen und Notfällen in den vergangenen 20 Jahren mit besonderem Schwerpunkt auf identifizierbare Nutzungsmuster und deren Wahrnehmung zusammenzufassen, um die bisherigen Ergebnisse und zukünftigen Potenziale herauszu-stellen.

    @incollection{reuter_soziale_2021,
    address = {Wiesbaden, Germany},
    edition = {2},
    title = {Soziale {Medien} in {Notfällen}, {Krisen} und {Katastrophen}},
    isbn = {978-3-658-32794-1},
    url = {https://doi.org/10.1007/978-3-658-32795-8_19},
    abstract = {Die Nutzung sozialer Medien hat sich nicht nur im Alltag, sondern auch in vielen ver-schiedenen Notfällen, Krisen und Katastrophen etabliert. Dieser Prozess begann bereits vor etwa 20 Jahren nach den Terroranschlägen vom 11. September 2001. In den darauf-folgenden Jahren, vor allem aber dem letzten Jahrzehnt, wurde eine Vielzahl von Stu-dien veröffentlicht, die sich auf den Gebrauch von Informations- und Kommunikations-technologien einschließlich der sozialen Medien vor, während oder nach Notfällen kon-zentrieren. Dieser Forschungsbereich wird auch unter dem Begriff Crisis Informatics zusammengefasst. Das Ziel dieses Kapitels ist es, den Gebrauch von und die Forschung über soziale Medien in Katastrophen und Notfällen in den vergangenen 20 Jahren mit besonderem Schwerpunkt auf identifizierbare Nutzungsmuster und deren Wahrnehmung zusammenzufassen, um die bisherigen Ergebnisse und zukünftigen Potenziale herauszu-stellen.},
    booktitle = {Sicherheitskritische {Mensch}-{Computer}-{Interaktion}: {Interaktive} {Technologien} und {Soziale} {Medien} im {Krisen}- und {Sicherheitsmanagement} ({Zweite} {Auflage})},
    publisher = {Springer Vieweg},
    author = {Reuter, Christian and Kaufhold, Marc-André},
    editor = {Reuter, Christian},
    year = {2021},
    keywords = {Crisis, Projekt-CYWARN, Security, Peace},
    pages = {407--430},
    }

  • Christian Reuter (2021)
    Sicherheitskritische Mensch-Computer-Interaktion: Interaktive Technologien und Soziale Medien im Krisen- und Sicherheitsmanagement (Zweite Auflage)
    2 ed. Wiesbaden: Springer Vieweg.
    [BibTeX] [Abstract] [Download PDF]

    Die zweite, aktualisierte Auflage dieses Lehr- und Fachbuchs gibt eine fundierte und praxisbezogene Einführung sowie einen Überblick über Grundlagen, Methoden und Anwendungen der Mensch-Computer-Interaktion im Kontext von Sicherheit, Notfällen, Krisen, Katastrophen, Krieg und Frieden. Dies adressierend werden interaktive, mobile, ubiquitäre und kooperative Technologien sowie soziale Medien vorgestellt. Hierbei finden klassische Themen wie benutzbare (IT-)Sicherheit, Industrie 4.0, Katastrophenschutz, Medizin und Automobil, aber auch Augmented Reality, Crowdsourcing, Shitstorm Management, Social Media Analytics und Cyberwar ihren Platz. Methodisch wird das Spektrum von Usable Safety bis Usable Security Engineering von Analyse über Design bis Evaluation abgedeckt. Das Buch eignet sich ebenso als Lehrbuch für Studierende wie als Handbuch für Wissenschaftler, Designer, Entwickler und Anwender.

    @book{reuter_sicherheitskritische_2021,
    address = {Wiesbaden},
    edition = {2},
    title = {Sicherheitskritische {Mensch}-{Computer}-{Interaktion}: {Interaktive} {Technologien} und {Soziale} {Medien} im {Krisen}- und {Sicherheitsmanagement} ({Zweite} {Auflage})},
    isbn = {978-3-658-32795-8},
    url = {https://www.springer.com/de/book/9783658327941},
    abstract = {Die zweite, aktualisierte Auflage dieses Lehr- und Fachbuchs gibt eine fundierte und praxisbezogene Einführung sowie einen Überblick über Grundlagen, Methoden und Anwendungen der Mensch-Computer-Interaktion im Kontext von Sicherheit, Notfällen, Krisen, Katastrophen, Krieg und Frieden. Dies adressierend werden interaktive, mobile, ubiquitäre und kooperative Technologien sowie soziale Medien vorgestellt. Hierbei finden klassische Themen wie benutzbare (IT-)Sicherheit, Industrie 4.0, Katastrophenschutz, Medizin und Automobil, aber auch Augmented Reality, Crowdsourcing, Shitstorm Management, Social Media Analytics und Cyberwar ihren Platz. Methodisch wird das Spektrum von Usable Safety bis Usable Security Engineering von Analyse über Design bis Evaluation abgedeckt. Das Buch eignet sich ebenso als Lehrbuch für Studierende wie als Handbuch für Wissenschaftler, Designer, Entwickler und Anwender.},
    publisher = {Springer Vieweg},
    author = {Reuter, Christian},
    year = {2021},
    keywords = {Projekt-ATHENE-SecUrban, Projekt-CYWARN, Projekt-KontiKat, HCI, Security, UsableSec, Infrastructure, SocialMedia, Peace, AuswahlCrisis, Projekt-emergenCITY},
    }

  • Christian Reuter (2021)
    Einleitung in die sicherheitskritische Mensch-Computer-Interaktion
    In: Christian ReuterSicherheitskritische Mensch-Computer-Interaktion: Interaktive Technologien und Soziale Medien im Krisen- und Sicherheitsmanagement (Zweite Auflage). 2 ed. Wiesbaden, Germany: Springer Vieweg, , 3–17.
    [BibTeX] [Abstract] [Download PDF]

    Die sicherheitskritische Mensch-Computer-Interaktion (MCI) ist eine interdisziplinäre Herausforderung und ein für die Informatik und die jeweiligen Anwendungsdomänen ein zunehmend an Bedeutung gewinnendes Thema. Dieses Kapitel bietet eine Einfüh-rung in das Lehr- und Fachbuch „Sicherheitskritische Mensch-Computer-Interaktion – Interaktive Technologien und Soziale Medien im Krisen- und Sicherheitsmanagement“. Als didaktisch aufbereiteter, umfassender Überblick über Grundlagen, Methoden und Anwendungsgebiete soll es sowohl als vorlesungsbegleitende Lektüre als auch als Nach-schlagewerk für Personen aus Wissenschaft, Design und Entwicklung dienen. Dies ad-ressierend werden interaktive, mobile, ubiquitäre und kooperative Technologien sowie soziale Medien vorgestellt. Hierbei finden klassische Themen wie benutzbare (IT-)Sicherheit, Industrie 4.0, Katastrophenschutz, Medizin und Automobil, aber auch Augmented Reality, Crowdsourcing, Shitstorm Management, Social Media Analytics und Cyberwar ihren Platz. Methodisch wird das Spektrum von Usable Safety bis Usable Security Engineering, von Analyse über Design bis Evaluation abgedeckt.

    @incollection{reuter_einleitung_2021,
    address = {Wiesbaden, Germany},
    edition = {2},
    title = {Einleitung in die sicherheitskritische {Mensch}-{Computer}-{Interaktion}},
    isbn = {978-3-658-32794-1},
    url = {https://doi.org/10.1007/978-3-658-32795-8_1},
    abstract = {Die sicherheitskritische Mensch-Computer-Interaktion (MCI) ist eine interdisziplinäre Herausforderung und ein für die Informatik und die jeweiligen Anwendungsdomänen ein zunehmend an Bedeutung gewinnendes Thema. Dieses Kapitel bietet eine Einfüh-rung in das Lehr- und Fachbuch „Sicherheitskritische Mensch-Computer-Interaktion – Interaktive Technologien und Soziale Medien im Krisen- und Sicherheitsmanagement“. Als didaktisch aufbereiteter, umfassender Überblick über Grundlagen, Methoden und Anwendungsgebiete soll es sowohl als vorlesungsbegleitende Lektüre als auch als Nach-schlagewerk für Personen aus Wissenschaft, Design und Entwicklung dienen. Dies ad-ressierend werden interaktive, mobile, ubiquitäre und kooperative Technologien sowie soziale Medien vorgestellt. Hierbei finden klassische Themen wie benutzbare (IT-)Sicherheit, Industrie 4.0, Katastrophenschutz, Medizin und Automobil, aber auch Augmented Reality, Crowdsourcing, Shitstorm Management, Social Media Analytics und Cyberwar ihren Platz. Methodisch wird das Spektrum von Usable Safety bis Usable Security Engineering, von Analyse über Design bis Evaluation abgedeckt.},
    booktitle = {Sicherheitskritische {Mensch}-{Computer}-{Interaktion}: {Interaktive} {Technologien} und {Soziale} {Medien} im {Krisen}- und {Sicherheitsmanagement} ({Zweite} {Auflage})},
    publisher = {Springer Vieweg},
    author = {Reuter, Christian},
    editor = {Reuter, Christian},
    year = {2021},
    keywords = {Crisis, Projekt-CYWARN, HCI, Security, UsableSec},
    pages = {3--17},
    }

  • Markus Bayer, Marc-André Kaufhold, Christian Reuter (2021)
    Information Overload in Crisis Management: Bilingual Evaluation of Embedding Models for Clustering Social Media Posts in Emergencies
    Proceedings of the European Conference on Information Systems (ECIS) .
    [BibTeX] [Abstract] [Download PDF]

    Past studies in the domains of information systems have analysed the potentials and barriers of social media in emergencies. While information disseminated in social media can lead to valuable insights, emergency services and researchers face the challenge of information overload as data quickly exceeds the manageable amount. We propose an embedding-based clustering approach and a method for the automated labelling of clusters. Given that the clustering quality is highly dependent on embeddings, we evaluate 19 embedding models with respect to time, internal cluster quality, and language invariance. The results show that it may be sensible to use embedding models that were already trained on other crisis datasets. However, one must ensure that the training data generalizes enough, so that the clustering can adapt to new situations. Confirming this, we found out that some embeddings were not able to perform as well on a German dataset as on an English dataset.

    @inproceedings{bayer_information_2021,
    title = {Information {Overload} in {Crisis} {Management}: {Bilingual} {Evaluation} of {Embedding} {Models} for {Clustering} {Social} {Media} {Posts} in {Emergencies}},
    url = {http://www.peasec.de/paper/2021/2021_BayerKaufholdReuter_InformationOverloadInCrisisManagementBilingualEvaluation_ECIS.pdf},
    abstract = {Past studies in the domains of information systems have analysed the potentials and barriers of social media in emergencies. While information disseminated in social media can lead to valuable insights, emergency services and researchers face the challenge of information overload as data quickly exceeds the manageable amount. We propose an embedding-based clustering approach and a method for the automated labelling of clusters. Given that the clustering quality is highly dependent on embeddings, we evaluate 19 embedding models with respect to time, internal cluster quality, and language invariance. The results show that it may be sensible to use embedding models that were already trained on other crisis datasets. However, one must ensure that the training data generalizes enough, so that the clustering can adapt to new situations. Confirming this, we found out that some embeddings were not able to perform as well on a German dataset as on an English dataset.},
    booktitle = {Proceedings of the {European} {Conference} on {Information} {Systems} ({ECIS})},
    author = {Bayer, Markus and Kaufhold, Marc-André and Reuter, Christian},
    year = {2021},
    keywords = {Crisis, Projekt-ATHENE-SecUrban, Projekt-CYWARN, SocialMedia, A-Paper, Ranking-CORE-A},
    pages = {1--18},
    }

  • Markus Bayer, Marc-André Kaufhold, Christian Reuter (2021)
    Survey on Data Augmentation for Text Classification
    2021.
    [BibTeX] [Abstract] [Download PDF]

    Data augmentation, the artificial creation of training data for machine learning by transformations, is a widely studied research field across machine learning disciplines. While it is useful for increasing the generalization capabilities of a model, it can also address many other challenges and problems, from overcoming a limited amount of training data over regularizing the objective to limiting the amount data used to protect privacy. Based on a precise description of the goals and applications of data augmentation (C1) and a taxonomy for existing works (C2), this survey is concerned with data augmentation methods for textual classification and aims to achieve a concise and comprehensive overview for researchers and practitioners (C3). Derived from the taxonomy, we divided more than 100 methods into 12 different groupings and provide state-of-the-art references expounding which methods are highly promising (C4). Finally, research perspectives that may constitute a building block for future work are given (C5).

    @techreport{bayer_survey_2021,
    title = {Survey on {Data} {Augmentation} for {Text} {Classification}},
    url = {http://arxiv.org/abs/2107.03158},
    abstract = {Data augmentation, the artificial creation of training data for machine learning by transformations, is a widely studied research field across machine learning disciplines. While it is useful for increasing the generalization capabilities of a model, it can also address many other challenges and problems, from overcoming a limited amount of training data over regularizing the objective to limiting the amount data used to protect privacy. Based on a precise description of the goals and applications of data augmentation (C1) and a taxonomy for existing works (C2), this survey is concerned with data augmentation methods for textual classification and aims to achieve a concise and comprehensive overview for researchers and practitioners (C3). Derived from the taxonomy, we divided more than 100 methods into 12 different groupings and provide state-of-the-art references expounding which methods are highly promising (C4). Finally, research perspectives that may constitute a building block for future work are given (C5).},
    author = {Bayer, Markus and Kaufhold, Marc-André and Reuter, Christian},
    year = {2021},
    keywords = {Projekt-CYWARN},
    }

    2020

  • Marc-André Kaufhold (2020)
    Information Refinement Technologies for Crisis Informatics: User Expectations and Design Implications for Social Media and Mobile Apps in Crisis
    Darmstadt, Germany: Dissertation (Dr. rer. nat.), Technische Unviersität Darmstadt.
    [BibTeX]

    @book{kaufhold_information_2020,
    address = {Darmstadt, Germany},
    title = {Information {Refinement} {Technologies} for {Crisis} {Informatics}: {User} {Expectations} and {Design} {Implications} for {Social} {Media} and {Mobile} {Apps} in {Crisis}},
    publisher = {Dissertation (Dr. rer. nat.), Technische Unviersität Darmstadt},
    author = {Kaufhold, Marc-André},
    year = {2020},
    keywords = {Crisis, Projekt-ATHENE-SecUrban, Projekt-CYWARN, Projekt-KontiKat},
    }

  • Philipp Kuehn, Thea Riebe, Lynn Apelt, Max Jansen, Christian Reuter (2020)
    Sharing of Cyber Threat Intelligence between States
    S+F Sicherheit und Frieden / Peace and Security ;38(1):22–28. doi:10.5771/0175-274X-2020-1-22
    [BibTeX] [Abstract] [Download PDF]

    Threats in cyberspace have increased in recent years due to the increment of offensive capabilities by states. Approaches to mitigate the security dilemma in cyberspace within the UN are deadlocked, as states have not been able to achieve agreements. However, from the perspective of IT-Security, there are Cyber Threat Intelligence (CTI) platforms to share and analyze cyber threats for a collective crisis management. To investigate, whether or not CTI platforms can be used as a confidence-building measure between states and international organizations, we portray current CTI platforms, showcase political requirements, and answer the question of how CTI communication may contribute to confidence-building in international affairs. Our results suggest the need to further develop analytical capabilities, as well as the implementation of a broad social, political, and legal environment for international CTI sharing.

    @article{kuehn_sharing_2020,
    title = {Sharing of {Cyber} {Threat} {Intelligence} between {States}},
    volume = {38},
    url = {http://www.peasec.de/paper/2020/2020_KuehnRiebeApeltJansenReuter_SharingCyberThreatIntelligence_SF.pdf},
    doi = {10.5771/0175-274X-2020-1-22},
    abstract = {Threats in cyberspace have increased in recent years due to the increment of offensive capabilities by states. Approaches to mitigate the security dilemma in cyberspace within the UN are deadlocked, as states have not been able to achieve agreements. However, from the perspective of IT-Security, there are Cyber Threat Intelligence (CTI) platforms to share and analyze cyber threats for a collective crisis management. To investigate, whether or not CTI platforms can be used as a confidence-building measure between states and international organizations, we portray current CTI platforms, showcase political requirements, and answer the question of how CTI communication may contribute to confidence-building in international affairs. Our results suggest the need to further develop analytical capabilities, as well as the implementation of a broad social, political, and legal environment for international CTI sharing.},
    number = {1},
    journal = {S+F Sicherheit und Frieden / Peace and Security},
    author = {Kuehn, Philipp and Riebe, Thea and Apelt, Lynn and Jansen, Max and Reuter, Christian},
    year = {2020},
    keywords = {Projekt-ATHENE-SecUrban, Projekt-CYWARN, Security, Student, Peace, Projekt-DualUse},
    pages = {22--28},
    }

  • Christian Reuter, Marc-André Kaufhold, Tina Comes, Michèle Knodt, Max Mühlhäuser (2020)
    Mobile Resilience: Designing Mobile Interactive Systems for Societal and Technical Resilience
    MobileHCI ’20: 22nd International Conference on Human-Computer Interaction with Mobile Devices and Services . doi:10.1145/3406324.3424590
    [BibTeX] [Abstract] [Download PDF]

    Digitalization and interconnectedness, facilitated by the Internet of Things (IoT) and the widespread distribution of mobile devices, can be used to tackle important societal challenges. This is maybe most prominently visible in the response to the COVID-2019 Pandemic. However, the design of mobile technology, functionality and underlying infrastructures must be resilient against disruptions caused by man-made (e.g. bombings, hacking) and natural (e.g. earthquakes, hurricanes) crises, emergencies and threats. To explore challenges, designs and potentials of interactive technologies, this workshop investigates the overlapping space of mobile technologies and resilient systems, including future application domains such as smart cities.

    @inproceedings{reuter_mobile_2020,
    title = {Mobile {Resilience}: {Designing} {Mobile} {Interactive} {Systems} for {Societal} and {Technical} {Resilience}},
    url = {https://dl.acm.org/doi/pdf/10.1145/3406324.3424590},
    doi = {10.1145/3406324.3424590},
    abstract = {Digitalization and interconnectedness, facilitated by the Internet of Things (IoT) and the widespread distribution of mobile devices, can be used to tackle important societal challenges. This is maybe most prominently visible in the response to the COVID-2019 Pandemic. However, the design of mobile technology, functionality and underlying infrastructures must be resilient against disruptions caused by man-made (e.g. bombings, hacking) and natural (e.g. earthquakes, hurricanes) crises, emergencies and threats. To explore challenges, designs and potentials of interactive technologies, this workshop investigates the overlapping space of mobile technologies and resilient systems, including future application domains such as smart cities.},
    booktitle = {{MobileHCI} '20: 22nd {International} {Conference} on {Human}-{Computer} {Interaction} with {Mobile} {Devices} and {Services}},
    author = {Reuter, Christian and Kaufhold, Marc-André and Comes, Tina and Knodt, Michèle and Mühlhäuser, Max},
    year = {2020},
    keywords = {Crisis, Projekt-ATHENE-SecUrban, Projekt-CYWARN, HCI, SocialMedia, Ranking-CORE-B, Projekt-emergenCITY},
    pages = {1--3},
    }