Open access repository

Home Open access repository

In 2014, we launched our open-access repository which offers full text access to conference proceedings from many of our events including the INC and HAISA series. These papers are free to access and distribute (subject to citing the source).

» Openaccess proceedings » Thirteenth International Symposium on Human Aspects of Information Security & Assurance (HAISA 2019)

Thirteenth International Symposium on Human Aspects of Information Security & Assurance (HAISA 2019)

Thirteenth International Symposium on Human Aspects of Information Security & Assurance (HAISA 2019)
Nicosia, Cyprus, July 15-16, 2019
ISBN: 978-0244-19096-5

Title: A Hypothesised Model to Examine Susceptibility to Cyber-Social Engineering Through LinkedIn in The Workplace
Author(s): Mohammed Khaled N Alotaibi
Reference: pp203-214
Keywords: Cyber-social Engineering (CSE), Social Engineering (SE), Personality Traits, LinkedIn, Social Networking Sites (SNS), Victimisation, Susceptibility, Five Factor Model (FFM)
Abstract: To date, few studies have examined how users are susceptible to Cyber-social engineering (CSE) on social networking sites. Employees using LinkedIn have been found to have difficulties controlling the type of material they post and are therefore vulnerable to attack. A number of studies have presented frameworks to examine if personality traits are associated with vulnerability to cybercrimes, but these and various other human aspects of vulnerability to risks have not been thoroughly examined. This study extends these frameworks by examining the susceptibility of employees to CSE by combining personality traits, personal dispositions, attitudes to risk, habitual behaviours and technological self-efficacy, as well as the impact of their demographic, including structural power (position within the organisation). This study will focus on public sector personnel who are accessing a professional SNS and are working in government organisations and affiliates under the Ministry of Interior, Saudi Arabia. This study will adopt a mixed research method, namely sequential explanatory design.
Download count: 355

How to get this paper:

Download a free PDF copy of this paperBuy this book at Lulu.com

PDF copy of this paper is free to download. You may distribute this copy providing you cite this page as the source.