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

Tasmina Islam; Ingolf Becker; Rebecca Posner; Paul Ekblom; Michael McGuire; Hervé Borrion; Shujun Li

doi:10.1007/978-981-15-1304-6_22

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

Conference proceeding

Peer reviewed

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

Tasmina Islam, Ingolf Becker, Rebecca Posner, Paul Ekblom, Michael McGuire, Hervé Borrion and Shujun Li

Dependability in Sensor, Cloud, and Big Data Systems and Applications - 5th International Conference, DependSys 2019, Proceedings, Vol.1123, pp.277-293

2019

DOI: https://doi.org/10.1007/978-981-15-1304-6_22

Abstract

Co-evolution

Crime prevention

Cyber security

Cybercrime

Framework

Human behavior

Human factors

Human-as-a-Security-Sensor (HaaSS)

Ontology

Risk management

Socio-technical

Transportation

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Title: A Socio-Technical and Co-evolutionary Framework for Reducing Human-Related Risks in Cyber Security and Cybercrime Ecosystems
Creators: Tasmina Islam - University of Kent
Ingolf Becker - University College London
Rebecca Posner - Transport Research Laboratory (United Kingdom)
Paul Ekblom - University College London
Michael McGuire - University of Surrey
Hervé Borrion - University College London
Shujun Li - University of Kent
Publication Details: Dependability in Sensor, Cloud, and Big Data Systems and Applications - 5th International Conference, DependSys 2019, Proceedings, Vol.1123, pp.277-293
Number of pages: 17
Publication Date: 2019
Grant note: Engineering and Physical Sciences Research Council (http://data.elsevier.com/vocabulary/SciValFunders/501100000266) EP/P011896/2 / Engineering and Physical Sciences Research Council (501100000266) EP/P011896/1; EP/P011896/2 / Engineering and Physical Sciences Research Council (http://data.elsevier.com/vocabulary/SciValFunders/501100000266) EP/P011896/1 / Engineering and Physical Sciences Research Council (501100000266)
Identifiers: 991110181902346
Academic Unit: Sociology
Language: English
Resource Type: Conference proceeding

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

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