2014
DOI: 10.1177/1541931214581091
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Human Factors of Cyber Attacks

Abstract: Cyber security has been a growing focus within the human factors community. Over the last several years, human-centered cyber research has provided valuable insights into the cognitive and collaborative work within cyber operations, but has largely ignored how the genesis, intentions, methods and outcomes of cyber attacks impact human-related outcomes. Leveraging insights from other, more technologically focused communities, the goal of this paper is to synthesize previous work and to present a unified, descri… Show more

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Cited by 18 publications
(4 citation statements)
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“…Additionally, it taps into the empirical research gap highlighted by (Taylor et al, 2017), shedding light on the underexplored terrain of psychology in cybersecurity. This research aligns with the findings of (Mancuso et al, 2014), who proposed a framework for human-centered research in the context of cyber-attacks. This research compares three classification algorithms for malware detection, with the SVM (polynomial kernel) proving highly effective, showcasing the importance of algorithm selection in cybersecurity (Hakimi et al, 2023) similarly study by (Hasas et al, 2024) delves into enhancing digital security through dynamic attack detection, employing LSTM, KNN, and Random Forest algorithms, contributing valuable insights to the evolving landscape of cybersecurity One of the key challenges addressed in this analysis is the phenomenon of security fatigue.…”
Section: Introductionsupporting
confidence: 86%
“…Additionally, it taps into the empirical research gap highlighted by (Taylor et al, 2017), shedding light on the underexplored terrain of psychology in cybersecurity. This research aligns with the findings of (Mancuso et al, 2014), who proposed a framework for human-centered research in the context of cyber-attacks. This research compares three classification algorithms for malware detection, with the SVM (polynomial kernel) proving highly effective, showcasing the importance of algorithm selection in cybersecurity (Hakimi et al, 2023) similarly study by (Hasas et al, 2024) delves into enhancing digital security through dynamic attack detection, employing LSTM, KNN, and Random Forest algorithms, contributing valuable insights to the evolving landscape of cybersecurity One of the key challenges addressed in this analysis is the phenomenon of security fatigue.…”
Section: Introductionsupporting
confidence: 86%
“…A comprehensive analysis was undertaken to determine the mean expenses associated with cyber incidents across diverse industry domains, with a specific emphasis on identifying the most severe categories. Financial loss is incorporated as a factor in their cyber risk model [31,32].…”
Section: Organisational and Societal Impactmentioning
confidence: 99%
“…Researchers and practitioners postulate that the impact of malicious cyber activity targeting humans remains underexplored in existing research (Mancuso, Strang, Funke, & Finomore, 2014). Mancuso et al (2014) acknowledge that the current research gap in human performance and behavior in cybersecurity requires urgent attention from social factors practitioners and psychology-based experts.…”
Section: The Sociological Aspects Of Human Factorsmentioning
confidence: 99%