ID, an intrusion detection framework that unifies adaptive feature selection with attention-based ensemble fusion, achieving ...

Network intrusion prevention systems (IPSes) monitor and analyze an organization's network traffic to identify malicious activity and -- optionally -- stop that activity by dropping and/or blocking ...

Researchers in India have built a hybrid intrusion detection system combining causal learning, entropy-based feature ...

In the vast and ever-evolving realm of cybersecurity, the need for robust defense mechanisms has never been more pressing. With cyber threats growing in sophistication and frequency, organizations ...

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 ...

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 intrusion detection system monitors (IDS) network traffic for suspicious activity and sends alerts when such activity is discovered. Anomaly detection and reporting are the primary functions of an ...

Automated intrusion management eliminates reliance on manual processes, reducing errors and ensuring systems are automatically armed when needed. Operators can configure automated schedules, enforce ...

New Orleans – Sept. 29, 2025 – KEENFINITY Group’s Intrusion & Access Business Unit launches Radionix as its new brand for intrusion alarm systems and unlocks new potential and growth opportunities.

How Android Intrusion Logging and Delegated Scope give defenders OS-level evidence, and how Zimperium MTD used these logs to expose RatHat malware.