Review of Cybercrime Detection Approaches using Machine Learning and Deep Learning Techniques

This research explores the use of deep learning and Machine Learning techniques in cybersecurity to detect and mitigate cyber threats. Specifically, this study focuses on Long Short-Term Memory (LSTM) and Graph Neural Networks (GNN) to analyse network traffic and system logs for patterns, anomalies, and malicious activities. The goal of the proposed research work is to enhance cyber-defining mechanisms and network security by leveraging Artificial Intelligence (AI) to combat the evolving cyber threats.