Mouse Behavior as an Index of Phishing Awareness

Yu, K; Taib, R; Butavicius, MA; Parsons, K; Chen, F

Mouse Behavior as an Index of Phishing Awareness

Yu, K

Taib, R Butavicius, MA Parsons, K Chen, F

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Publication Type:: Conference Proceeding
Citation:: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2019, 11746 LNCS pp. 539 - 548
Issue Date:: 2019-01-01

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Field	Value	Language
dc.contributor.author	Yu, K https://orcid.org/0000-0001-5138-6749	en_US
dc.contributor.author	Taib, R	en_US
dc.contributor.author	Butavicius, MA	en_US
dc.contributor.author	Parsons, K	en_US
dc.contributor.author	Chen, F https://orcid.org/0000-0003-4971-8729	en_US
dc.date.issued	2019-01-01	en_US
dc.identifier.citation	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2019, 11746 LNCS pp. 539 - 548	en_US
dc.identifier.isbn	9783030293802	en_US
dc.identifier.issn	0302-9743	en_US
dc.identifier.uri	http://hdl.handle.net/10453/139042
dc.description.abstract	© IFIP International Federation for Information Processing 2019. Phishing attacks are one of the most common security challenges faced by individuals and organizations today. Although many techniques exist to filter out phishing emails, they are not always effective leaving humans as the most vulnerable links in the information security chain. This paper presents a study investigating how human behavior, especially mouse movements, may reflect cybersecurity awareness, in particular to phishing emails. Using an email sorting task, we examined three key mouse movement features: hover, slow movement, and response time. The results suggest that slow mouse movements indicate high awareness of phishing emails and could be used to determine the likelihood of users falling victim to phishing attacks. However, contrary to intuition, response time and mouse hovering behaviors do not correlate with phishing awareness.	en_US
dc.relation.ispartof	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en_US
dc.relation.isbasedon	10.1007/978-3-030-29381-9_33	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Mouse Behavior as an Index of Phishing Awareness	en_US
dc.type	Conference Proceeding
utslib.citation.volume	11746 LNCS	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	11746 LNCS	en_US

Abstract:

© IFIP International Federation for Information Processing 2019. Phishing attacks are one of the most common security challenges faced by individuals and organizations today. Although many techniques exist to filter out phishing emails, they are not always effective leaving humans as the most vulnerable links in the information security chain. This paper presents a study investigating how human behavior, especially mouse movements, may reflect cybersecurity awareness, in particular to phishing emails. Using an email sorting task, we examined three key mouse movement features: hover, slow movement, and response time. The results suggest that slow mouse movements indicate high awareness of phishing emails and could be used to determine the likelihood of users falling victim to phishing attacks. However, contrary to intuition, response time and mouse hovering behaviors do not correlate with phishing awareness.

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http://hdl.handle.net/10453/139042