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

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Springer

Abstract

The 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.

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Riebe, Thea; Bäumler, Julian; Kaufhold, Marc-André; Reuter, Christian (2024): Values and Value Conflicts in the Context of OSINT Technologies for Cybersecurity Incident Response: A Value Sensitive Design Perspective. Computer Supported Cooperative Work (CSCW): Vol. 33, No. 2. DOI: 10.1007/s10606-022-09453-4. Springer. ISSN: 1573-7551

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Computer Emergency Response Team, Cybersecurity incident response, Machine learning, Open-source intelligence, Value sensitive design

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Number of citations to item: 5

  • I. C. Donatz-Fest (2024): Values? Camera? Action! An ethnography of an AI camera system used by the Netherlands Police, In: Policing and Society 1(35), doi:10.1080/10439463.2024.2370939
  • Egor Soldatov, Alexandr Soldatov, Valentin Selifanov, Kirill Ivanov, Marina Baturina (2024): Incident Management System Modeling Issues, In: Lecture Notes in Networks and Systems, doi:10.1007/978-3-031-72171-7_30
  • Kenan 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
  • Philipp 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
  • Ajay 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
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