Abstract: Anomaly detection is important in many fields. Especially when dealing with large-scale, complex and dynamic data, traditional methods based on fixed rules or thresholds are often inadequate ...

Anomaly detection refers to the process of recognizing certain data, behaviors or events that are not according to an established baseline or norm. In cybersecurity, this technique is used to flag ...

Abstract: Due to the difficulty in predefining novel attack patterns and the scarcity of sufficient malicious training samples in specialized Internet of Things (IoT) scenarios, the focus of IoT ...

With the profusion of e-commerce web sites, online banking and other high profile applications, it is understandable that organizations should want to avail themselves of the best possible protection ...

Violations of security policies within a computer or network are symbolic of the need for robust intrusion detection. From attackers accessing systems from the internet or authorized users conducting ...

Explore how AI-driven anomaly detection enhances the security of Model Context Protocol (MCP) deployments, protecting AI infrastructure from evolving threats with real-time insights.