Understanding responses to phishing in Saudi Arabia via the Theory of Planned Behaviour

Alyahya, Ahmed and Weir, George; (2021) Understanding responses to phishing in Saudi Arabia via the Theory of Planned Behaviour. In: National Computing Colleges Conference (NCCC), 2021. Proceedings - 2021 IEEE 4th National Computing Colleges Conference, NCCC 2021 . IEEE, SAU. ISBN 9781728167190 (https://doi.org/10.1109/NCCC49330.2021.9428823)

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Abstract

Saudi Arabia has seen an enormous growth in Internet usage over the past few years. With increasing adoption of this technology has come a rise in cybercrime, often enabled through use of social engineering. Phishing is a prime example, aiming to deceive users into revealing personal data. The paper describes efforts to understand individuals' responses to phishing attacks through application of the Theory of Planned Behaviour (TPB). It reports a survey that considers three common social engineering persuading strategies, Authority, Social Proof and Scarcity. Results show correlations between these strategies and TPB. In particular, between attitude and intention to respond under the Authority strategy; subjective norms and intention to respond under the Social Proof strategy; and subjective norms and intention to respond under the Scarcity strategy.

ORCID iDs

Alyahya, Ahmed and Weir, George ORCID logoORCID: https://orcid.org/0000-0002-6264-4480;
  • Item type:Book Section
    ID code:78717
    Dates:
    Date
    Event
    14 May 2021
    Published
    12 March 2021
    Accepted
    Notes:© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subjects:Science > Mathematics > Electronic computers. Computer science
    Department:Faculty of Science > Computer and Information Sciences
    Depositing user: Pure Administrator
    Date deposited:26 Nov 2021 10:17
    Last modified:20 Nov 2024 01:33
    URI:https://strathprints.strath.ac.uk/id/eprint/78717
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