How AI and machine learning can enhance Kubernetes security. Learn about eBPF, IDS, and automated threat responses. Secure ...

The intrusion detection is performed using I-RNN-BiLSTM to classify the NSL-KDD dataset. To develop the biometric multimodal authentication system, three biometric images of face, iris, and ...

A comprehensive intrusion detection system that leverages swarm intelligence algorithms (Ant Colony Optimization and Bee Algorithm) to detect network anomalies in real-time. The system provides ...

To this end, Artificial Intelligence (AI)-powered Network Intrusion Detection Systems (NIDSs) have been implemented at the network layer to detect and respond to threats in real-time. Our survey ...

This toolkit contains a set of Python scripts used to map Snort intrusion detection rules to the MITRE ATT&CK framework using heuristic methods, and then verify the integrity and completeness of the ...