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Identity-deception detection methods have been proposed for social-media platforms with high effectiveness, but their efficiency can vary. Previous literature has not examined the potential of these methods to work as real-time monitoring systems. Such implementations further highlight the challenges of applying computationally intensive methods in online environments that involve large datasets and high speeds of data. This paper attempts to classify detection methods based on the approaches and identifies factors that, in real-time systems, will impact the effectiveness and efficiency of these methods. Optimizations are proposed that can limit the computational overhead. Further challenges involving real-time identity-deception detection are discussed.
Social network services, Real-time systems, Internet, Time complexity, Object recognition, Cloning

M. Tsikerdekis, "Real-Time Identity-Deception Detection Techniques for Social Media: Optimizations and Challenges," in IEEE Internet Computing, vol. 22, no. 5, pp. 35-45, 2018.
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