The Internet of Things (IoT) includes many devices generating vast amounts of data that need extensive computation. IoT has several definitions, but the most popular refers to multiple devices, ...

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 ...

Intrusion detection systems (IDS) play a vital role in protecting computer networks from malicious activities. Dimensionality reduction techniques are commonly employed to enhance the effectiveness ...

Dr. James McCaffrey from Microsoft Research presents a demonstration program that models biological immune systems to identify network intrusion threats. The demo illustrates challenges with ...

The pilot will integrate SaverOne’s RF sensing technology with RBtec’s perimeter intrusion detection system for an end-customer in the security sector, marking a further step in SaverOne’s strategic e ...

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

Quick Summary Looking to spot network threats before they escalate into costly security incidents? This guide breaks down the top seven Network Intrusion Detection (NID) systems built for enterprise ...

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.

Signatures and rules are the bulwark of traditional intrusion detection systems (IDS), however they are also a significant source of frustration. Most IDS systems are known for being noisy, generating ...