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Out of control? Using STAMP to model the control and feedback mechanisms surrounding identity crime in darknet marketplaces
Journal article   Peer reviewed

Out of control? Using STAMP to model the control and feedback mechanisms surrounding identity crime in darknet marketplaces

Ben R Lane, Paul M Salmon, Dennis Desmond, Adrian Cherney, Adam Carley, Adam Hulme and Neville Stanton
Applied Ergonomics, Vol.89, pp.1-11
2020
PMID: 32755741
url
https://doi.org/10.1016/j.apergo.2020.103223View
Published Version

Abstract

Darknet Systems theoretic process analysis Identity crime
Darknet marketplaces have emerged as a facilitator of identity crime and trading. This study aimed to (1) understand the entities and control and feedback mechanisms that influence identity crime prevention and occurrence on the darknet in the Australian system and to (2) comprehensively identify the implications of control failures across all system levels. The Systems-Theoretic Accident Model and Processes (STAMP) was used to develop an identity crime control structure in consultation with subject matter experts and then the Systems-Theoretic Process Analysis (STPA) was applied. The STPA identified 310 risk states, resulting from control failures and which were associated with the range of agencies, organisations, and individuals present across system levels. As darknet marketplaces rapidly evolve, alignment between these entities is necessary to enable agile system responses. STAMP and STPA have promise in understanding the potential for intervention across all system levels in preventing societal issues such as identity crime. •Identity crime occurs within a complex sociotechnical system.•Systems-Theoretic Process Analysis detected numerous risk states that enable crime.•Alignment between systemwide actors would permit agile responses to identity crime.•Systems analysis provides insight into interventions points across a system.

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Domestic collaboration
International collaboration
Web Of Science research areas
Engineering, Industrial
Ergonomics
Psychology, Applied

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