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Susceptibility to phishing on social network sites: A personality information processing model
Today, the traditional approach used to conduct phishing attacks through email and spoofed websites has evolved to include social network sites (SNSs). This is because phishers are able to use similar methods to entice social network users to click on malicious links masquerading as fake news, contr...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7252086/ https://www.ncbi.nlm.nih.gov/pubmed/32501314 http://dx.doi.org/10.1016/j.cose.2020.101862 |
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author | Frauenstein, Edwin Donald Flowerday, Stephen |
author_facet | Frauenstein, Edwin Donald Flowerday, Stephen |
author_sort | Frauenstein, Edwin Donald |
collection | PubMed |
description | Today, the traditional approach used to conduct phishing attacks through email and spoofed websites has evolved to include social network sites (SNSs). This is because phishers are able to use similar methods to entice social network users to click on malicious links masquerading as fake news, controversial videos and other opportunities thought to be attractive or beneficial to the victim. SNSs are a phisher's “market” as they offer phishers a wide range of targets and take advantage of opportunities that exploit the behavioural vulnerabilities of their users. As such, it is important to further investigate aspects affecting behaviour when users are presented with phishing. Based on the literature studied, this research presents a theoretical model to address phishing susceptibility on SNSs. Using data collected from 215 respondents, the study examined the mediating role that information processing plays with regard to user susceptibility to social network phishing based on their personality traits, thereby identifying user characteristics that may be more susceptible than others to phishing on SNSs. The results from the structural equation modeling (SEM) analysis revealed that conscientious users were found to have a negative influence on heuristic processing, and are thus less susceptible to phishing on SNSs. The study also confirmed that heuristic processing increases susceptibility to phishing, thus supporting prior studies in this area. This research contributes to the information security discipline as it is one of the first to examine the effect of the relationship between the Big Five personality model and the heuristic-systematic model of information processing. |
format | Online Article Text |
id | pubmed-7252086 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-72520862020-05-28 Susceptibility to phishing on social network sites: A personality information processing model Frauenstein, Edwin Donald Flowerday, Stephen Comput Secur Article Today, the traditional approach used to conduct phishing attacks through email and spoofed websites has evolved to include social network sites (SNSs). This is because phishers are able to use similar methods to entice social network users to click on malicious links masquerading as fake news, controversial videos and other opportunities thought to be attractive or beneficial to the victim. SNSs are a phisher's “market” as they offer phishers a wide range of targets and take advantage of opportunities that exploit the behavioural vulnerabilities of their users. As such, it is important to further investigate aspects affecting behaviour when users are presented with phishing. Based on the literature studied, this research presents a theoretical model to address phishing susceptibility on SNSs. Using data collected from 215 respondents, the study examined the mediating role that information processing plays with regard to user susceptibility to social network phishing based on their personality traits, thereby identifying user characteristics that may be more susceptible than others to phishing on SNSs. The results from the structural equation modeling (SEM) analysis revealed that conscientious users were found to have a negative influence on heuristic processing, and are thus less susceptible to phishing on SNSs. The study also confirmed that heuristic processing increases susceptibility to phishing, thus supporting prior studies in this area. This research contributes to the information security discipline as it is one of the first to examine the effect of the relationship between the Big Five personality model and the heuristic-systematic model of information processing. Elsevier Ltd. 2020-07 2020-05-01 /pmc/articles/PMC7252086/ /pubmed/32501314 http://dx.doi.org/10.1016/j.cose.2020.101862 Text en © 2020 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Frauenstein, Edwin Donald Flowerday, Stephen Susceptibility to phishing on social network sites: A personality information processing model |
title | Susceptibility to phishing on social network sites: A personality information processing model |
title_full | Susceptibility to phishing on social network sites: A personality information processing model |
title_fullStr | Susceptibility to phishing on social network sites: A personality information processing model |
title_full_unstemmed | Susceptibility to phishing on social network sites: A personality information processing model |
title_short | Susceptibility to phishing on social network sites: A personality information processing model |
title_sort | susceptibility to phishing on social network sites: a personality information processing model |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7252086/ https://www.ncbi.nlm.nih.gov/pubmed/32501314 http://dx.doi.org/10.1016/j.cose.2020.101862 |
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