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Issue No. 03 - May-June (2015 vol. 19)
ISSN: 1089-7801
pp: 41-49
Michail Tsikerdekis , University of Kentucky
Sherali Zeadally , University of Kentucky
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.
Media, Facebook, Feature extraction, Social network services, Online services, Accuracy

M. Tsikerdekis and S. Zeadally, "Detecting and Preventing Online Identity Deception in Social Networking Services," in IEEE Internet Computing, vol. 19, no. 3, pp. 41-49, 2015.
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