Machine-Learning and Deep-Learning-Based Security Solutions for Detecting Various Attacks on OSNs
Brij Bhooshan Gupta, Somya Ranjan Sahoo · 2021
This chapter describes how to identify various threats like fake profiles attacks using machine-learning and deep-learning-based analysis through an efficient and robust mechanism. To gain reputation in online social networks such as in Twitter, a user also purchases followers from various websites. Various solutions and techniques are proposed by researchers and academicians for the analysis and detection of fake accounts in Twitter. Moreover, all these solutions are based on the analysis of machine-learning-based solutions. The chapter presents a fake detection framework through hybrid approach for fake Twitter profile detection and is also deployed as a Chrome extension as a service at user&s;s homepage. To detect malicious information as fake account, a labelled dataset is required. Existing research work performs differentiation of fake and legitimate accounts on the basis of certain characteristics associated with user&s;s profile. The performance of the fake detector framework is evaluated at real time using different experimental analysis with base line dataset.