Researchers have developed MPAuzz, a greybox fuzzer that uses the nature-inspired Marine Predators Algorithm to intelligently schedule mutations of binary...

Researchers in India have developed BiPC-IFS, a few-shot class-incremental learning framework that lets intrusion detection systems learn new cyberattacks from...

Cybersecurity researchers have unveiled a new artificial intelligence model that dramatically improves how machines identify never-before-seen threat terms buried in...

Cybersecurity researchers have unveiled a new game-theoretic framework that promises to make one of the field's most promising proactive defense...

Researchers at the University of Portsmouth have unveiled V5GIDS, an artificial intelligence-driven intrusion detection framework designed to work natively inside...

Researchers at the Technical University of Košice have shown that even the most impressive-looking scores in machine-learning-based network intrusion detection...

In an era where cyberattacks are often measured solely by downtime, bandwidth and remediation costs, a groundbreaking study from Finland's...

Power grids around the world operate on a deceptively simple promise: that the frequency of the electricity humming through the...

Worcester Polytechnic Institute (WPI) researchers Jun Dai and Xiaoyan “Sherry” Sun have launched a three-year, online teacher-training project funded by...

In an era where digital security threats evolve at a breakneck pace, the academic landscape is responding with unprecedented innovations....