Network anomaly detection is an important and dynamic research area. Many Network Intrusion Detection methods and Systems (NIDS) have been proposed in the literature. In this paper, the authors ...

In this paper, a few methods for anomaly detection in computer networks with the use of time series methods are proposed. The special interest was put on Brown’s exponential smoothing, seasonal ...

According to a new market research report "Anomaly Detection Market by Solution (Network and User Behavior Anomaly Detection), Technology (Big Data Analytics, Data Mining and Business Intelligence, ...

Discover how to secure AI orchestration workflows using post-quantum cryptography and AI-driven anomaly detection for Model Context Protocol (MCP) environments.

Enterprise networks are experiencing massive change, with cloud, IoT, and mobility, causing legacy perimeters to transition from private networks, to borderless infrastructures. Meanwhile, adversaries ...

PALO ALTO, Calif.--(BUSINESS WIRE)--LiveAction, a leader in end-to-end visibility for network security and performance, today announced the release of ThreatEye NV. A network detection and response ...

“It is difficult for users to identify when poor network performance is caused by a security threat. From their perspective, all they notice is slowness or unresponsiveness.” – Jams Townsend, ...