Cue utilization, phishing feature and phishing email detection

Piers Bayl-Smith; Daniel Sturman; Mark Wiggins

doi:10.1007/978-3-030-54455-3_5

Cue utilization, phishing feature and phishing email detection

Piers Bayl-Smith^*, Daniel Sturman, Mark Wiggins

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution

Abstract

Cognitive processes are broadly considered to be of vital importance to understanding phishing email feature detection or misidentification. This research extends the current literature by introducing the concept of cue utilization as a unique predictor of phishing feature detection. First year psychology students (n = 127) undertook three tasks measuring cue utilization, phishing feature detection and phishing email detection. A multiple linear regression model provided evidence that those in a higher cue utilization typology (n = 55) performed better at identifying phishing features than those in a lower cue utilization typology (n = 72). Furthermore, as predicted by the Elaboration Likelihood Model (ELM) and Heuristic-Systematic Model (HSM), those who deliberated longer per email demonstrated an increased ability to correctly identify phishing features. However, these results did not translate into improved performance in the phishing email detection task. Possible explanations for these results are discussed, including possible limitations and areas of future research.

Original language	English
Title of host publication	Financial Cryptography and Data Security
Subtitle of host publication	FC 2020 International Workshops, AsiaUSEC, CoDeFi, VOTING, and WTSC, Revised Selected Papers
Editors	Matthew Bernhard, Andrea Bracciali, L. Jean Camp, Shin’ichiro Matsuo, Alana Maurushat, Peter B. Rønne, Massimiliano Sala
Place of Publication	Switzerland
Publisher	Springer
Pages	56-70
Number of pages	15
ISBN (Electronic)	9783030544553
ISBN (Print)	9783030544546
DOIs	https://doi.org/10.1007/978-3-030-54455-3_5
Publication status	Published - 2020
Event	1st Asian Workshop on Usable Security, AsiaUSEC 2020, the 1st Workshop on Coordination of Decentralized Finance, CoDeFi 2020, the 5th Workshop on Advances in Secure Electronic Voting, VOTING 2020, and the 4th Workshop on Trusted Smart Contracts, WTSC 2020, held at the 24th International Conference on Financial Cryptography and Data Security, FC 2020 - Kota Kinabalu, Malaysia Duration: 14 Feb 2020 → 14 Feb 2020

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12063
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	1st Asian Workshop on Usable Security, AsiaUSEC 2020, the 1st Workshop on Coordination of Decentralized Finance, CoDeFi 2020, the 5th Workshop on Advances in Secure Electronic Voting, VOTING 2020, and the 4th Workshop on Trusted Smart Contracts, WTSC 2020, held at the 24th International Conference on Financial Cryptography and Data Security, FC 2020
Country	Malaysia
City	Kota Kinabalu
Period	14/02/20 → 14/02/20

Keywords

phishing
cue utilization
feature identification
elaboration likelihood model
heuristic-systematic model

Access to Document

10.1007/978-3-030-54455-3_5

Link to publication in Scopus

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Cite this

Bayl-Smith, P., Sturman, D., & Wiggins, M. (2020). Cue utilization, phishing feature and phishing email detection. In M. Bernhard, A. Bracciali, L. J. Camp, S. Matsuo, A. Maurushat, P. B. Rønne, & M. Sala (Eds.), Financial Cryptography and Data Security: FC 2020 International Workshops, AsiaUSEC, CoDeFi, VOTING, and WTSC, Revised Selected Papers (pp. 56-70). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12063). Switzerland: Springer. https://doi.org/10.1007/978-3-030-54455-3_5

Bayl-Smith, Piers ; Sturman, Daniel ; Wiggins, Mark. / Cue utilization, phishing feature and phishing email detection. Financial Cryptography and Data Security: FC 2020 International Workshops, AsiaUSEC, CoDeFi, VOTING, and WTSC, Revised Selected Papers. editor / Matthew Bernhard ; Andrea Bracciali ; L. Jean Camp ; Shin’ichiro Matsuo ; Alana Maurushat ; Peter B. Rønne ; Massimiliano Sala. Switzerland : Springer, 2020. pp. 56-70 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Cognitive processes are broadly considered to be of vital importance to understanding phishing email feature detection or misidentification. This research extends the current literature by introducing the concept of cue utilization as a unique predictor of phishing feature detection. First year psychology students (n = 127) undertook three tasks measuring cue utilization, phishing feature detection and phishing email detection. A multiple linear regression model provided evidence that those in a higher cue utilization typology (n = 55) performed better at identifying phishing features than those in a lower cue utilization typology (n = 72). Furthermore, as predicted by the Elaboration Likelihood Model (ELM) and Heuristic-Systematic Model (HSM), those who deliberated longer per email demonstrated an increased ability to correctly identify phishing features. However, these results did not translate into improved performance in the phishing email detection task. Possible explanations for these results are discussed, including possible limitations and areas of future research.",

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Bayl-Smith, P, Sturman, D & Wiggins, M 2020, Cue utilization, phishing feature and phishing email detection. in M Bernhard, A Bracciali, LJ Camp, S Matsuo, A Maurushat, PB Rønne & M Sala (eds), Financial Cryptography and Data Security: FC 2020 International Workshops, AsiaUSEC, CoDeFi, VOTING, and WTSC, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12063, Springer, Switzerland, pp. 56-70, 1st Asian Workshop on Usable Security, AsiaUSEC 2020, the 1st Workshop on Coordination of Decentralized Finance, CoDeFi 2020, the 5th Workshop on Advances in Secure Electronic Voting, VOTING 2020, and the 4th Workshop on Trusted Smart Contracts, WTSC 2020, held at the 24th International Conference on Financial Cryptography and Data Security, FC 2020, Kota Kinabalu, Malaysia, 14/02/20. https://doi.org/10.1007/978-3-030-54455-3_5

Cue utilization, phishing feature and phishing email detection. / Bayl-Smith, Piers; Sturman, Daniel; Wiggins, Mark.

Financial Cryptography and Data Security: FC 2020 International Workshops, AsiaUSEC, CoDeFi, VOTING, and WTSC, Revised Selected Papers. ed. / Matthew Bernhard; Andrea Bracciali; L. Jean Camp; Shin’ichiro Matsuo; Alana Maurushat; Peter B. Rønne; Massimiliano Sala. Switzerland : Springer, 2020. p. 56-70 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12063).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution

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AU - Wiggins, Mark

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AB - Cognitive processes are broadly considered to be of vital importance to understanding phishing email feature detection or misidentification. This research extends the current literature by introducing the concept of cue utilization as a unique predictor of phishing feature detection. First year psychology students (n = 127) undertook three tasks measuring cue utilization, phishing feature detection and phishing email detection. A multiple linear regression model provided evidence that those in a higher cue utilization typology (n = 55) performed better at identifying phishing features than those in a lower cue utilization typology (n = 72). Furthermore, as predicted by the Elaboration Likelihood Model (ELM) and Heuristic-Systematic Model (HSM), those who deliberated longer per email demonstrated an increased ability to correctly identify phishing features. However, these results did not translate into improved performance in the phishing email detection task. Possible explanations for these results are discussed, including possible limitations and areas of future research.

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PB - Springer

CY - Switzerland

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Bayl-Smith P, Sturman D, Wiggins M. Cue utilization, phishing feature and phishing email detection. In Bernhard M, Bracciali A, Camp LJ, Matsuo S, Maurushat A, Rønne PB, Sala M, editors, Financial Cryptography and Data Security: FC 2020 International Workshops, AsiaUSEC, CoDeFi, VOTING, and WTSC, Revised Selected Papers. Switzerland: Springer. 2020. p. 56-70. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-54455-3_5