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 ...

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 ...

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 ...

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 ...

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 ...

Many network middleboxes perform Deep Packet Inspection (DPI), a set of useful tasks which examine packet payloads. These tasks include Intrusion Detection System (IDS), exfiltration detection and ...