IEEE18d
Universal Adversarial Perturbations Against Machine-Learning-Based Intrusion Detection Systems in Industrial Internet of Things
Machine learning (ML)-based intrusion detection systems (IDSs) recently have been demonstrated ... Comprehensive experiments are conducted on three mainstream intrusion detection data sets, i.e., ...
GitHub22d
intrusion-detection
IDPS-ESCAPE (Intrusion Detection and Prevention Systems for Evading Supply Chain Attacks and Post-compromise Effects), part of the CyFORT project: open-source SOAR system powered by a dedicated ...
CIO24d
Enhancing data backup and recovery with AI and ML
From improved, automated incident response to real-time monitoring and anomaly detection ... AI and ML systems continuously learn and improve from the data they process. This means backup and ...
IEEE27d
A Federated Learning Framework for Enhanced Data Security and Cyber Intrusion Detection in Distributed Network of Underwater Drones
Unlike centralized approaches, FL enables underwater drones to collaboratively train a global intrusion detection model by processing data locally and sharing only model updates with the central ...