Varun Vemulapalli

Explainable attention-based intrusion detection for encrypted 5G network traffic

A privacy-preserving intrusion detection framework that operates exclusively on flow-level traffic metadata without deep packet inspection, which supports the practicality of explainable Transformer models for secure and scalable APT detection in encrypted 5G environments.