Out of control? Using STAMP to model the control and feedback mechanisms surrounding identity crime in darknet marketplaces.
Darknet
Identity crime
Systems theoretic process analysis
Journal
Applied ergonomics
ISSN: 1872-9126
Titre abrégé: Appl Ergon
Pays: England
ID NLM: 0261412
Informations de publication
Date de publication:
Nov 2020
Nov 2020
Historique:
received:
13
12
2019
revised:
17
06
2020
accepted:
17
07
2020
pubmed:
7
8
2020
medline:
8
6
2021
entrez:
7
8
2020
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 32755741
pii: S0003-6870(20)30175-7
doi: 10.1016/j.apergo.2020.103223
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
103223Informations de copyright
Copyright © 2020 Elsevier Ltd. All rights reserved.