Vulnerability to social engineering in social networks : a proposed user-centric framework

Albladi, Samar and Weir, George R S; Cartwright, Barry and Weir, George and Lau, Laurie Yiu-Chung, eds. (2016) Vulnerability to social engineering in social networks : a proposed user-centric framework. In: 2016 IEEE International Conference on Cybercrime and Computer Forensic (ICCCF). IEEE, CAN, pp. 95-100. ISBN 9781509060962 (https://doi.org/10.1109/ICCCF.2016.7740435)

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Abstract

Social networking sites have billions of users who communicate and share their personal information every day. Social engineering is considered one of the biggest threats to information security nowadays. Social engineering is an attacker technique to manipulate and deceive users in order to access or gain privileged information. Such attacks are continuously developed to deceive a high number of potential victims. The number of social engineering attacks has risen dramatically in the past few years, causing unpleasant damage both to organizations and individuals. Yet little research has discussed social engineering in the virtual environments of social networks. One approach to counter these exploits is through research that aims to understand why people fall victim to such attacks. Previous social engineering and deception research have not satisfactory identified the factors that influence the users' ability to detect attacks Characteristics that influence users' vulnerability must be investigated to address this issue and help to build a profile for vulnerable users in order to focus on increasing the training programs and education for those users. In this context, the present study proposes a user-centric framework to understand the user's susceptibility, relevant factors and dimensions.

ORCID iDs

Albladi, Samar ORCID logoORCID: https://orcid.org/0000-0001-9246-9540 and Weir, George R S ORCID logoORCID: https://orcid.org/0000-0002-6264-4480; Cartwright, Barry, Weir, George and Lau, Laurie Yiu-Chung
  • Item type:Book Section
    ID code:59262
    Dates:
    Date
    Event
    17 November 2016
    Published
    15 February 2016
    Accepted
    Notes:© 2016 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:05 Jan 2017 10:01
    Last modified:18 Nov 2024 01:19
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/59262
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