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 ...

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.

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 ...

Jeff Costlow, CISO at ExtraHop, makes the case for implementing next-gen intrusion-detection systems (NG-IDS) and retiring those noisy 90s compliance platforms. After more than 20 years of ...

Intrusion detection technology presents a confusing array of acronyms, abstract concepts, and hazy deliverables. This exacerbates the difficult situation for executives who are asked to pay for these ...

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 ...

Google LLC today announced that its Cloud IDS for network-based threat detection is now generally available. Initially announced in July, the service, whose acronym refers to “intrusion detection ...

An artificial immune system (AIS) for intrusion detection is a software system that loosely models some parts of the behavior of the human immune system to protect computer networks from viruses and ...