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 ...

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

Artificial Immune Systems for Intrusion Detection Using C# Dr. James McCaffrey from Microsoft Research presents a demonstration program that models biological immune systems to identify network ...

Arkansas State University is asking for trouble. The school is in the midst of a major network upgrade that will eventually bring gigabit-speed network capacity to every dorm room and office on campus ...

In the vast and ever-evolving realm of cybersecurity, the need for robust defense mechanisms has never been more pressing. With cyber threats growing in sophistication and frequency, organizations ...

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 ...

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