Abstract

As social networking sites (SNSs) have risen in popularity, attackers have been using social engineering traps and tactics to trick SNS users into obeying them, accepting threats, and falling victim to various crimes and attacks, such as phishing, sexual abuse, financial abuse, identity theft, impersonation, physical crime, and many other forms. Recent research on SNS security shows that most of the attackers rely mainly on fake identities. However, one of the key challenges that has faced researchers recently is how to distinguish between legitimate users and attackers. In this paper, we propose a simple yet effective method of evaluating the trustworthiness of an SNS user. The proposed method relies on a user’s reputation, which can be evaluated from the user’s friendship history. As such, this method contributes to reducing the risks associated with the lack of identity authentication in SNSs, as well as the failure to filter fake profiles when receiving friendship invitations, looking for people on search engines, and dealing with spam messages.

Highlights

  • Security threats in information systems generally occur through the vulnerabilities of technologies or of people

  • Recent research on social networking sites (SNSs) security shows that most social engineering threats, such as spamming, identity cloning, and social bots, rely mainly on fake identities (Fire, Goldschmidt, & Elovici, 2014)

  • The SNS users have been found to be quite vulnerable to falling victim to many social engineering tricks and attacks, such as phishing, clickjacking, sexual abuse, financial abuse, identity theft, impersonation, physical crime, and many other forms

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Summary

Introduction

Security threats in information systems generally occur through the vulnerabilities of technologies or of people. Several researchers have investigated and highlighted the risks associated with social engineering in SNSs (e.g., Algarni, Xu, Chan, & Tian, 2013a, 2013b; Braun & Esswein, 2013; Chitrey, Singh, & Singh, 2012; Dimensional-Research, 2011; Jagatic, Johnson, Jakobsson, & Menczer, 2007; Nagy & Pecho, 2009). Recent research on SNS security shows that most social engineering threats, such as spamming, identity cloning, and social bots, rely mainly on fake identities (Fire, Goldschmidt, & Elovici, 2014) This fact explains why an estimated 83 million (8.7% of all accounts) Facebook accounts may be fake (Couper, 2013)

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