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 ...
AI has quickly become the backbone of enterprise network management, setting the baseline for what secure and optimized ...
Tech Xplore on MSN
A RADIANT future for cybersecurity
Stealth cyber-attacks against power grids, water systems and other critical infrastructure often go undetected until it is ...
Cyber attacks are growing smarter and faster. Hackers use advanced techniques to target businesses of all sizes. Traditional defenses often struggle to keep up, leaving networks and data at risk. […] ...
Tech Xplore on MSN
Training the grid to spot cyberattacks without seeing your data
SUTD researchers test a privacy-preserving approach that blends federated learning with cloud coordination for smart grids in ...
Explainable AI (XAI): Improving transparency in IDS decision-making builds trust and aids compliance with security ...
RICHMOND, Ky. — The Blue Grass Army Depot is the only Department of Defense organization testing artificial intelligence-powered surveillance software to detect threats such as intruders, weapons and ...
"IDS is dead," said Vic Wheatman of Gartner Group. "People bought it, installed it and turned it down when they had too many alerts." Analyst Mike Rasmussen of Giga agreed: "75 percent of IDS ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results