Intrusion Detection Systems (IDS) and anomaly detection techniques underpin modern cybersecurity by autonomously monitoring network activities and flagging deviations from normal behaviour. IDS are ...

A recent study introduces an advanced anomaly-based intrusion detection system (IDS) designed to address the increasing cyber threats targeting Internet of Things (IoT) devices. By combining machine ...

Violations of security policies within a computer or network are symbolic of the need for robust intrusion detection. From attackers accessing systems from the internet or authorized users conducting ...

Phil Goldstein is a former web editor of the CDW family of tech magazines and a veteran technology journalist. He lives in Washington, D.C., with his wife and their animals: a dog named Brenna, and ...

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 ...

AI security cameras enhance smart home security using computer vision, behavioral anomaly detection, and facial recognition ...

Researchers in Morocco analyzed cybersecurity challenges in smart grids, highlighting AI-driven detection and defense strategies against threats like distributed denial-of-service, false data ...

If you don’t have a lot of budget at your disposal, these open-source intrusion detection tools are worth a look. As businesses grapple with the pandemic, millions of workers are no longer working in ...

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 ...

Despite a rocky beginning, intrusion detection and prevention systems are an important part of any security arsenal. We road-test six hardware and software-based systems. Intrusion detection systems ...