Values and Value Conflicts in the Context of OSINT Technologies for Cybersecurity Incident Response: A Value Sensitive Design Perspective

dc.contributor.authorRiebe, Thea
dc.contributor.authorBäumler, Julian
dc.contributor.authorKaufhold, Marc-André
dc.contributor.authorReuter, Christian
dc.date45444
dc.date.accessioned2024-08-02T05:23:24Z
dc.date.available2024-08-02T05:23:24Z
dc.date.issued2024
dc.description.abstractThe negotiation of stakeholder values as a collaborative process throughout technology development has been studied extensively within the fields of Computer Supported Cooperative Work and Human-Computer Interaction. Despite their increasing significance for cybersecurity incident response, there is a gap in research on values of importance to the design of open-source intelligence (OSINT) technologies for this purpose. In this paper, we investigate which values and value conflicts emerge due to the application and development of machine learning (ML) based OSINT technologies to assist cyber security incident response operators. For this purpose, we employ a triangulation of methods, consisting of a systematic survey of the technical literature on the development of OSINT artefacts for cybersecurity (N = 73) and an empirical value sensitive design case study, comprising semi-structured interviews with stakeholders (N = 9) as well as a focus group (N = 7) with developers. Based on our results, we identify implications relevant to the research on and design of OSINT artefacts for cybersecurity incident response.de
dc.identifier.doi10.1007/s10606-022-09453-4
dc.identifier.issn1573-7551
dc.identifier.urihttp://dx.doi.org/10.1007/s10606-022-09453-4
dc.identifier.urihttps://dl.eusset.eu/handle/20.500.12015/5155
dc.publisherSpringer
dc.relation.ispartofComputer Supported Cooperative Work (CSCW): Vol. 33, No. 2
dc.relation.ispartofseriesComputer Supported Cooperative Work (CSCW)
dc.subjectComputer Emergency Response Team
dc.subjectCybersecurity incident response
dc.subjectMachine learning
dc.subjectOpen-source intelligence
dc.subjectValue sensitive design
dc.titleValues and Value Conflicts in the Context of OSINT Technologies for Cybersecurity Incident Response: A Value Sensitive Design Perspectivede
dc.typeText/Journal Article
gi.citations.count5
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gi.citations.elementKenan Malween Bizouarn, Mohamed Abdulnabi, Joco Tan (2023): OSINT and AI: A Powerful Combination for Company Vulnerability Detection, In: 2023 IEEE 21st Student Conference on Research and Development (SCOReD), doi:10.1109/scored60679.2023.10563226
gi.citations.elementPhilipp Kühn, David N. Relke, Christian Reuter (2023): Common vulnerability scoring system prediction based on open source intelligence information sources, In: Computers & Security, doi:10.1016/j.cose.2023.103286
gi.citations.elementAjay S Ram, Arya Thalakkat, Devika Udayan, Aiby A Khader, Hari K, Vipin George (2023): Exploring OSINT for Modern Day Reconnaissance, In: 2023 Annual International Conference on Emerging Research Areas: International Conference on Intelligent Systems (AICERA/ICIS), doi:10.1109/aicera/icis59538.2023.10420426
mci.reference.pages205-251

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