Learn about the factors contributing to delayed diagnosis of PIDs, the impact of such delays, and the significance of early detection. Discover the advantages of Next Generation Flow™ cytometry in ...

Federated learning framework for IoT intrusion detection using tab transformer and nature-inspired hyperparameter optimization Mohamed Abd Elaziz 1,2,3 Ibrahim A. Fares 1 * Abdelghani Dahou 4 Mansour ...

The research addresses a pressing challenge in the digital age: how to secure and analyze data generated across billions of IoT devices without compromising user privacy. The team explores the use of ...

Erlacher, F. and Dressler, F. (2020) On High-Speed Flow-Based Intrusion Detection using Snort-Compatible Signatures.

To address these issues, we proposed FeCoGraph, a label-aware federated graph contrastive learning framework for intrusion detection in few-shot scenarios. The line graph is introduced to directly ...

These processes also make it challenging to secure patient records in medical systems as the intrusion detection mechanisms can become frequently obsolete. This paper proposes a hybrid framework using ...