The results show that the Decision Tree model emerged as the top-performing algorithm, achieving an accuracy rate of 99.36 percent. Random Forest followed closely with 99.27 percent accuracy, while ...

Designed to fill the gap left by expensive, heavy-duty network intrusion detection systems, Snort is a free, cross-platform packet sniffer, logger, and intrusion detector for monitoring smaller TCP/IP ...

A recent study introduces an advanced anomaly-based intrusion detection system (IDS) designed to address the increasing cyber threats targeting Internet of Things (IoT) devices. By combining machine ...

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 ...

Phil Goldstein is a former web editor of the CDW family of tech magazines and a veteran technology journalist. He lives in Washington, D.C., with his wife and their animals: a dog named Brenna, and ...