Open access
Jul 2026
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.
Raghu Dhumpati, Varun Vemulapalli, Udayaraju Pamula et al.
· Discover Applied Sciences · 0 citations