Microsoft Threat Intelligence identified threat actor activity with overlapping tradecraft commonly associated with ...

A new multinational advisory warns that state-sponsored attackers continue to compromise critical infrastructure by ...

NetEmulator 2.0 allows students to understand cybersecurity as a sequence of observable decisions and outcomes rather ...

Port of Taichung, TIPC is steadily transforming into a state-of-the-art smart port, with new systems and infrastructures ...

Is your AI intrusion detection system quantum-blind? Learn why Harvest-Now, Decrypt-Later attacks threaten your AI models and how to implement quantum-proof security.

It classified individual packets instead of complete flows, which made detection shallow and less faithful to how CIC-IDS2017 features are defined. It relied on hardcoded local alert settings, which ...

AegisAI is a hybrid, AI-powered Intrusion Detection System that combines machine learning classification with rule-based analysis to detect and visualize network intrusions in real time.

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 ...

Abstract: The industrial Internet of Things (IIoT) requires robust intrusion detection systems (IDS) to ensure critical business continuity. However, existing solutions suffer from high false-positive ...

PARIS (AP) — The head of the Louvre Museum said Wednesday that new surveillance cameras and anti-intrusion systems will soon be installed at the Paris landmark after last month's stunning crown jewels ...