Deploying machine learning (ML)/deep learning (DL)-based network intrusion detection system (NIDS) enables intelligent traffic analysis against the increasing sophistication of modern network traffic.

Intrusion detection systems are essential for identifying and mitigating threats in rapidly growing and complex networks, but the centralized processing of sensitive data raises privacy concerns.

A criminal group recently attempted an unusual, and sophisticated intrusion, into a bank’s ATM infrastructure by deploying a ...

UCISD officials said this new system is an extra layer of security to keep students, teachers and staff safe within the walls ...

It will provide real-world examples of what this looks like in practice, and what a modern framework for integration looks ...

Security operations centers (SOCs) built for human-speed threats cannot effectively defend against machine-speed attacks. The ...

Developed by Microsoft Research and the Defender teams, Project Ire utilizes advanced reasoning and reverse engineering tools ...

Lesley Mathis knows what her daughter said was wrong. But she never expected the 13-year-old girl would get arrested for it.

Home insurance monthly premiums can be a pain but I learned most insurance will give you a rate discount with the right ...

Surveillance systems in American schools increasingly monitor everything students write on school accounts and devices.