In our tests of five leading network intrusion-detection systems and the popular open source Snort, performance was spotty during baseline testing and degraded by as much as 50% on some products when ...

Artificial Immune Systems for Intrusion Detection Using C# Dr. James McCaffrey from Microsoft Research presents a demonstration program that models biological immune systems to identify network ...

Harshith Kumar Pedarla explores using GANs to simulate network attacks. Synthetic data augmentation improves detection scores ...

No longer is a managed firewall adequate to protect a customer’s vital network and information assets. A complete security offering requires a multiple-layer approach that includes an intrusion ...

Artificial intelligence is reshaping cybersecurity, but much of that progress has focused on cloud and enterprise ...

Great applied technology typically needs enabling partner technology, and it will struggle to make headway until that partner appears. For decades, Intrusion Detection System (IDS) technology ...

The existing literature on intrusion detection systems (IDSs) heavily emphasizes technological advancements, particularly the integration of artificial intelligence (AI) for threat detection. Numerous ...

Study of 100+ energy OT sites reveals unpatched devices, flat networks, and hidden assets, with critical issues detected within minutes.