Evidence of Cognitive Biases in Cyber Attackers from An Empirical Study

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dc.contributor.author Aggarwal, Palvi
dc.contributor.author Rubaiyet Nowmi, Saeefa
dc.contributor.author Du, Yinuo
dc.contributor.author Gonzalez, Cleotilde
dc.date.accessioned 2023-12-26T18:36:34Z
dc.date.available 2023-12-26T18:36:34Z
dc.date.issued 2024-01-03
dc.identifier.isbn 978-0-9981331-7-1
dc.identifier.other 6f18ecdc-41c5-4d49-8150-ac1a58dbc29b
dc.identifier.uri https://hdl.handle.net/10125/106491
dc.language.iso eng
dc.relation.ispartof Proceedings of the 57th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Cyber Deception and Cyberpsychology for Defense
dc.subject cognitive bias
dc.subject cyber attackers
dc.subject cyber defense
dc.subject default effect
dc.subject hackit
dc.subject sunk cost effect
dc.title Evidence of Cognitive Biases in Cyber Attackers from An Empirical Study
dc.type Conference Paper
dc.type.dcmi Text
dcterms.abstract In this study, the authors aimed to identify cognitive biases exhibited by cyber attackers in the study by Aggarwal et al. (2021). Specifically, this paper investigated whether attackers displayed a preference for targeting systems located in specific areas of the network, as well as investigated any discernible behavioral patterns such as consistently attacking the same system in every round (Default Setting Bias) or persistently targeting a particular system despite previous failures (Sunk Cost Fallacy). The results show evidence for the default effect and sunk cost fallacy in the decision-making processes of human attackers and suggest that they can have significant implications for the effectiveness of cyber defense. This study provides valuable insights for the development of targeted interventions and countermeasures in cyber defense.
dcterms.extent 10 pages
prism.startingpage 934
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