UNCOVERING MALICIOUS SOCIAL BOTS THROUGH CLICK SEQUENCES

Abstract

The project titled "Detecting Malicious Social Bots Based on Click Stream Sequences" presents an innovative approach to identifying and mitigating malicious activities conducted by social bots. In recent years, the exponential growth of social media has led to a surge in the proliferation of social bots, automated entities designed to mimic human behavior while carrying out various malicious actions, including spreading misinformation, manipulating opinions, and perpetrating scams. This research focuses on analyzing click stream sequences, leveraging machine learning techniques to differentiate between legitimate user activities and those generated by malicious bots. By dissecting intricate patterns within click streams, the project aims to develop an effective framework for detecting and preventing fraudulent behaviors on social media platforms. This endeavor holds paramount importance in safeguarding user trust, platform integrity, and the overall digital ecosystem.