The Psychology of Cybercrime

Attrill-Smith, Alison; Wesson, Caroline

doi:10.1007/978-3-319-78440-3_25

Cited by 8 publications

(9 citation statements)

References 29 publications

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“…The study proposes a methodology that blends technical accuracy with broad principles from the behavioral sciences [14,17,20,24]. This study establishes the value of the Prophet model, as supported by Abdullah et al's (2022) [42] research, and how the prediction model effectively integrates insights from cyber behavioral science to provide comprehensive threat predictions [6,19,32].…”

Section: Summary Of Literature Reviewmentioning

confidence: 90%

“…Psychology of Cybercrime [13,19] Kirwan and Power (2013) [13] outlined the psychology of online offenders, contributing to understanding cybercriminal motivation. Attrill-Smith and Wesson's work on "The Psychology of Cybercrime" [19] reinforced the importance of psychological factors in cybercrime and the enhancement of predictive modeling for better threat identification.…”

Section: Methodsmentioning

confidence: 99%

“…Initially, utilizing the CBA approach, this study will modify the CBA framework to add a Forensic Sciences component to this study, overarchingly named Cyber Forensics Behavioral Analysis (CFBA). Using the CFBA, this research will blend technical cybersecurity measures with understanding cybercriminal behavior to enhance the accuracy and effectiveness of threat prediction and prevention strategies [1,[18][19][20][21].…”

Section: Problem Overviewmentioning

confidence: 99%

“…The integration of CFBA into predictive modeling involves key steps: These ethical guidelines ensure responsible research conduct, protecting individual and organizational privacy, in line with Attrill-Smith and Wesson [19].…”

Section: Interdisciplinary Approach (Steps)mentioning

confidence: 99%

“…Provides insights into the "why" behind cyber threats. [4,12,19] Utilize Digital Footprints Analyzes digital footprints left by cyber adversaries, understanding their tactics and techniques.…”

mentioning

confidence: 99%

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An Interdisciplinary Approach to Enhancing Cyber Threat Prediction Utilizing Forensic Cyberpsychology and Digital Forensics

Rich,

Aiken

2024

Forensic Sciences

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The Cyber Forensics Behavioral Analysis (CFBA) model merges Cyber Behavioral Sciences and Digital Forensics to improve the prediction and effectiveness of cyber threats from Autonomous System Numbers (ASNs). Traditional cybersecurity strategies, focused mainly on technical aspects, must be revised for the complex cyber threat landscape. This research proposes an approach combining technical expertise with cybercriminal behavior insights. The study utilizes a mixed-methods approach and integrates various disciplines, including digital forensics, cybersecurity, computer science, and forensic psychology. Central to the model are four key concepts: forensic cyberpsychology, digital forensics, predictive modeling, and the Cyber Behavioral Analysis Metric (CBAM) and Score (CBS) for evaluating ASNs. The CFBA model addresses initial challenges in traditional cyber defense methods and emphasizes the need for an interdisciplinary, comprehensive approach. This research offers practical tools and frameworks for accurately predicting cyber threats, advocating for ongoing collaboration in the ever-evolving field of cybersecurity.

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