Literature DB >> 29048944

Risk Factors for Social Networking Site Scam Victimization Among Malaysian Students.

Gráinne H Kirwan1, Chris Fullwood2, Brendan Rooney3.   

Abstract

Social networking sites (SNSs) can provide cybercriminals with various opportunities, including gathering of user data and login credentials to enable fraud, and directing of users toward online locations that may install malware onto their devices. The techniques employed by such cybercriminals can include clickbait (text or video), advertisement of nonexistent but potentially desirable products, and hoax competitions/giveaways. This study aimed to identify risk factors associated with falling victim to these malicious techniques. An online survey was completed by 295 Malaysian undergraduate students, finding that more than one-third had fallen victim to SNS scams. Logistic regression analysis identified several victimization risk factors including having higher scores in impulsivity (specifically cognitive complexity), using fewer devices for SNSs, and having been on an SNS for a longer duration. No reliable model was found for vulnerability to hoax valuable gift giveaways and "friend view application" advertising specifically, but vulnerability to video clickbait was predicted by lower extraversion scores, higher levels of openness to experience, using fewer devices, and being on an SNS for a longer duration. Other personality traits were not associated with either overall victimization susceptibility or increased risk of falling victim to the specific techniques. However, age approached significance within both the video clickbait and overall victimization models. These findings suggest that routine activity theory may be particularly beneficial in understanding and preventing SNSs scam victimization.

Entities:  

Keywords:  clickbait; cybercrime; fraud; impulsivity; routine activity theory; social networking sites

Mesh:

Year:  2017        PMID: 29048944     DOI: 10.1089/cyber.2016.0714

Source DB:  PubMed          Journal:  Cyberpsychol Behav Soc Netw        ISSN: 2152-2715


  2 in total

1.  Cybersecurity Awareness Based on Software and E-mail Security with Statistical Analysis.

Authors:  Mohammed A Alqahtani
Journal:  Comput Intell Neurosci       Date:  2022-03-18

Review 2.  Research trends in cybercrime victimization during 2010-2020: a bibliometric analysis.

Authors:  Huong Thi Ngoc Ho; Hai Thanh Luong
Journal:  SN Soc Sci       Date:  2022-01-06
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.