Detecting and Preventing Online Identity Deception in Social Networking Services

Michail Tsikerdekis, Sherali Zeadally

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

In the past decade social networking services (SNS) flooded the Web. The nature of such sites makes identity deception easy, offering a quick way to set up and manage identities, and then connect with and deceive others. Fighting deception requires a coordinated approach by users and developers to ensure detection and prevention. This article identifies the most prevalent approaches in detecting and preventing identity deception (from both a user's and developer's perspective), evaluating their efficiency, and providing recommendations to help eradicate this issue.

Original languageEnglish
Pages (from-to)41-49
Number of pages9
JournalIEEE Internet Computing
Volume19
Issue number3
DOIs
StatePublished - May 1 2015

Bibliographical note

Publisher Copyright:
© 1997-2012 IEEE.

Keywords

  • Accuracy
  • Facebook
  • Feature extraction
  • Forgery
  • Internet
  • Internet/Web technologies
  • Media
  • deception detection
  • deception prevention
  • online deception
  • social networks

ASJC Scopus subject areas

  • Computer Networks and Communications

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