%0 Conference Proceedings
%T Mouse Behavior as an Index of Phishing Awareness
%+ University of Technology Sydney (UTS)
%+ CSIRO Data61 [Sydney]
%+ Defence Science and Technology Group (DST)
%A Yu, Kun
%A Taib, Ronnie
%A Butavicius, Marcus, A.
%A Parsons, Kathryn
%A Chen, Fang
%Z Part 7: Cyber Security and E-voting Systems
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 17th IFIP Conference on Human-Computer Interaction (INTERACT)
%C Paphos, Cyprus
%Y David Lamas
%Y Fernando Loizides
%Y Lennart Nacke
%Y Helen Petrie
%Y Marco Winckler
%Y Panayiotis Zaphiris
%I Springer International Publishing
%3 Human-Computer Interaction – INTERACT 2019
%V LNCS-11746
%N Part I
%P 539-548
%8 2019-09-02
%D 2019
%R 10.1007/978-3-030-29381-9_33
%K Cybersecurity
%K Phishing
%K Mouse movements
%K Email classification
%Z Computer Science [cs]Conference papers
%X 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.
%G English
%Z TC 13
%2 https://inria.hal.science/hal-02544578/document
%2 https://inria.hal.science/hal-02544578/file/486811_1_En_33_Chapter.pdf
%L hal-02544578
%U https://inria.hal.science/hal-02544578
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC13
%~ IFIP-INTERACT
%~ IFIP-LNCS-11746