Abstract: This work proposes a novel privacy-preserving cyberattack detection framework for blockchain-based Internet of Things (IoT) systems. In our approach, artificial intelligence (AI)-driven ...
More than a quarter of U.S. health systems are paying for commercial AI licenses, highlighting how rapidly hospitals are investing in AI tools to address workforce shortages, operational ...
Abstract: Intrusion Detection Systems (IDS) are critical components in securing network environments against a myriad of cyber threats. The evolution of machine learning (ML) techniques has ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback