Personality traits and cyber-attack victimisation : multiple mediation analysis

Albladi, Samar Muslah and Weir, George R S; Falch, Morten, ed. (2018) Personality traits and cyber-attack victimisation : multiple mediation analysis. In: Joint 13th CTTE and 10th CMI Conference on Internet of Things – Business Models, Users, and Networks. IEEE, DNK. ISBN 9781538631973 (https://doi.org/10.1109/CTTE.2017.8260932)

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Abstract

The current research aims to gain insight on the role of the five personality traits (conscientiousness, neuroticism, extraversion, agreeableness, and openness to experience) in users' susceptibility to cyber-attack victimisation in the context of online social networks and investigates how different factors such as users' competence to deal with online threats, users' trust in other members in social network as well as trusting the network's service provider, users' motivation to engage in the network, and users' experience with cyber-crimes mediate and control this relationship. The effect of personality traits on user's online risky behaviour is still a controversial topic in cyber security research. Therefore, the present study proposes a mediation model that includes the five personality traits and the four mediators that together affect the user's likelihood of falling victim to cyber-attacks. The study conducted a scenario-based experiment with 316 participants to test the study model and the hypotheses' significance. Empirical results indicate that all five personality traits, except openness, have significant indirect effect on users' susceptibility to cyber-attack victimisation.

  • Item type:Book Section
    ID code:63007
    Dates:
    Date
    Event
    18 January 2018
    Published
    1 November 2017
    Accepted
    Notes:© 2017 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:Technology > Electrical engineering. Electronics Nuclear engineering
    Department:Faculty of Science > Computer and Information Sciences
    Depositing user: Pure Administrator
    Date deposited:23 Jan 2018 15:35
    Last modified:11 Apr 2024 00:11
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/63007
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