Tsikerdekis, M. (in-press).
Real-Time Identity Deception Detection Techniques for Social Media: Optimizations and Challenges.
IEEE Internet Computing. .
Impact Factor: 1.400
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 highlight further 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.