Deep Learning‐Based Detection of Cyber Extortion
R. Mohana Preya, M. R. Ramya, Ashiqur Rahman · 2025
This paper processes an innovative approach to combating cyber extortion, a growing threat in today's digital world. Focused on the utilization of voice analysis techniques, the project seeks to identify potential instances of cyber extortion hidden within voice communications. Through the integration of speech processing and machine learning (ML) methodologies, this approach aims to provide real-time alerts to users, enabling them to recognize and thwart cyber extortion attempts effectively. Additionally, the paper introduces a deep learning-based methodology tailored for detecting cyber extortion, which autonomously extracts significant features from unprocessed input data. Experimental evaluations demonstrate the effectiveness of this approach, showcasing high accuracy and recall rates in detecting cyber extortion. Moreover, the inherent adaptability of deep learning models ensures their robustness in real-world scenarios, contributing significantly to the field of cybersecurity by offering a novel and efficient solution for detecting and preventing cyber extortion.