A comprehensive intrusion detection ... Anomalies.razor # Anomaly management │ │ └── Traffic.razor # Traffic monitoring │ └── Data/ # Database files ├── SwarmID.Tests/ # Unit and integration tests └── ...

A distributed denial-of-service (DDoS) attack is a malicious attempt to disrupt the normal traffic of a targeted server, service, or network ... architecture of implemented method consists of the flow ...

AI-driven automation offers businesses a powerful solution to streamline operations, boost efficiency and reduce manual ...

What do modern network test and assurance tools and strategies need to look like, to satisfy operators and provide a positive ...

Signature-based detection works well for known threats and is highly efficient when the threat matches an exact known profile ...

In this article, we propose a dynamic anomaly detection network (DADN), which introduces a dynamic anomaly detection mechanism to enable efficient inference. Specifically, a bilateral early-exit ...

This will lead to the traditional federated learning-based network anomaly traffic detection facing two major challenges, the uneven data distribution leads to the model training cannot be optimized, ...

(Helsing image) MILAN — Germany-based Helsing has launched an underwater drone surveillance network powered by artificial intelligence for the detection ... as maritime traffic to enable ...

All the latest live Newcastle travel, traffic and weather information from across the city of Newcastle-upon-Tyne and the North East. Live traffic updates about roadworks, traffic incidents on the ...