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A Socio-Technical and Co-Evolutionary Framework for Reducing Human-Related Risks in Cyber Security and Cybercrime Ecosystems

Islam, T; Becker, I; Posner, R; Ekblom, P; McGuire, M; Borrion, H; Li, S; (2019) A Socio-Technical and Co-Evolutionary Framework for Reducing Human-Related Risks in Cyber Security and Cybercrime Ecosystems. In: (Proceedings) The 5th International Conference on Dependability in Sensor, Cloud, and Big Data Systems and Applications (DependSys 2019). Springer (In press).

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Type: Proceedings paper
Title: A Socio-Technical and Co-Evolutionary Framework for Reducing Human-Related Risks in Cyber Security and Cybercrime Ecosystems
Event: The 5th International Conference on Dependability in Sensor, Cloud, and Big Data Systems and Applications (DependSys 2019)
Location: Guangzhou, China
Dates: 12 November 2019 - 15 November 2019
Publisher version: https://link.springer.com/bookseries/558
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Security and Crime Science
URI: https://discovery.ucl.ac.uk/id/eprint/10082157
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