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 ...

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 ...

Over the past few decades, the rapid advancement of automotive electronics has revolutionized vehicle systems 1,2,3. One notable development is the widespread adoption of drive-by-wire (DBW) ...

Avigilon Alta Intrusion is an advanced, AI-powered intrusion detection system that combines video and audio analytics, sensor data, and a robust rules engine for swift and accurate threat detection.

Network security has developed as a critical research subject as a result of the Rapid advancements in the development of Internet and communication technologies over the previous decades. The ...

Code security provider GitGuardian has added a new honeytoken module to its platform to help customers secure their software development life cycle and software supply chains with intrusion and code ...

Microsoft DART uncovers dual threat actors in a single intrusion, revealing how blended tactics conceal attacks and ...

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 ...