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 ...

PLANO, Texas — Today, acre security, a global leader providing state-of-the-art security systems, announced an initiative as part of its ongoing effort to unify and simplify its product offerings. The ...

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 ...

A robust intrusion prevention system (IPS) is crucial for enhancing cybersecurity. Built to detect and block potential threats actively, an IPS responds before harm can be caused to a system or the ...

Avigilon Alta Intrusion is an advanced, AI-powered intrusion detection system that combines video and audio analytics, sensor data, and a robust rules engine for swift and accurate threat detection.

Southern California’s Metrolink will use a $1.3 million federal grant for the development and demonstration of a track intrusion detection system that it said not only will improve the safety of its ...

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 ...

A new technical paper titled “CANDoSA: A Hardware Performance Counter-Based Intrusion Detection System for DoS Attacks on Automotive CAN bus” was published by researchers at Dumarey Softronix and ...