IEEE

Balanced Multi-Class Network Intrusion Detection Using Machine Learning

Abstract: Cybersecurity is gaining a high position in the IT sector. Connecting more devices to the internet smooths the way for hackers. It is hard for signature-based security tools to detect new ...
IEEE

Optimization of State Clustering and Safety Verification in Deep Reinforcement Learning Using KMeans++ and Probabilistic Model Checking

Abstract: Ensuring the safety of Deep Reinforcement Learning (DRL) systems remains a significant challenge, particularly in real-time applications such as autonomous driving and robotics, where ...