The simple landlines once used to call friends or family evolved into omnipresent glossy screens that flood our brain with ...

Early and accurate detection of network intrusions is crucial to ensure network security and stability. Existing network intrusion detection methods mainly use conventional machine learning or deep ...

Norton AntiVirus Plus delivers lab-certified protection along with a two-way firewall, a scam detector app, and more, making ...

BEIJING, June 4, 2025 /PRNewswire/ -- After nearly a year of research and evaluation, Gartner released the first "Magic Quadrant for Network Detection and Response" report on May 29, ThreatBook ...

Limitations of Legacy Intrusion Detection Systems Legacy intrusion detection systems (IDS) like Snort and Suricata are rule-based and require constant manual tuning. These systems often fail to ...

Enhanced Detection Capabilities With AI, your network enjoys round-the-clock monitoring. AI learns normal behaviors within the network and swiftly identifies deviations, catching both known and ...

To address this challenge, this work presents a physics-informed graph convolutional recurrent network (PIGCRN) that incorporates both spatial and temporal information on chemical process networks and ...

Selecting the right Intrusion Detection System (IDS) is crucial for safeguarding your network against unauthorized access and potential security breaches. An IDS serves as a watchdog, monitoring ...

Machine learning (ML) techniques for network intrusion detection is still limited in production environments despite promising results reported in the literature. Network traffic behavior exhibits ...