Competence measure in social networks

Albladi, Samar Muslah and Weir, George R S; (2017) Competence measure in social networks. In: 2017 IEEE International Carnahan Conference on Security Technology (ICCST). IEEE, ESP. ISBN 9781538615850 (https://doi.org/10.1109/CCST.2017.8167845)

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Abstract

The current research aims to gain insight on user competence in detecting security threats in the context of online social networks (OSNs) and investigates the multidimensional space that determines this user competence level. The role of user competence and its dimensions in facilitating the detection of online threats is still a controversial topic in the information security field. The dimensions used to measure the concept are self-efficacy, security awareness, privacy awareness, and cybercrime experience. The scales used to measure those factors can determine the level of user competence in evaluating risks associated with social network usage. The measurement scales employed here have been validated using an item-categorization approach that, to our knowledge, has never before been used in information security research. The result of this study provides evidence for the suitability and validity of the user competence dimensions and associated measurement scales.

  • Item type:Book Section
    ID code:62996
    Dates:
    Date
    Event
    7 December 2017
    Published
    9 June 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 12:46
    Last modified:11 Apr 2024 00:12
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/62996
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