Intrusion detection systems have long been used to defend against attackers, but the technologies behind them keep changing to adapt to attackers' ever-evolving strategies. Developed around the same ...

An international reserch team developed two deep learning-based IDS models to enhance cybersecurity in SCADA systems. The hybrid approach reportedly improves detection of complex and novel cyber ...

In the vast and ever-evolving realm of cybersecurity, the need for robust defense mechanisms has never been more pressing. With cyber threats growing in sophistication and frequency, organizations ...

The proliferation of edge computing in industrial and IoT networks necessitates expert systems that support accurate, interpretable, and resource-efficient intrusion detection under strict privacy and ...

Network intrusion prevention systems (IPSes) monitor and analyze an organization's network traffic to identify malicious activity and -- optionally -- stop that activity by dropping and/or blocking ...