This presentation introduces a cyber extortion detection system based on behavioural analysis. The system focuses on identifying suspicious patterns and anomalies in user and system behavior to detect potential extortion attempts at an early stage. By leveraging behavioural indicators rather than relying solely on known attack signatures, the proposed approach enhances the accuracy and adaptability of cyber threat detection. This work was conducted at Arab International University (AIU), Syria. The official website of the university is: https://www.aiu.edu.sy
University et al. (2026) studied this question.