3 papers
cs.CR2026
Are We Shooting Flies with Cannons? Trade-off Analysis for AI-based 5G Intrusion Detection
Federica Uccello, Simin Nadjm-Tehrani
The increasing adoption of Artificial Intelligence (AI) in network intrusion detection raises the question of whether complex and computationally expensive models are justified for…
cs.CR2026
When Relationships Break: Interpreting Network Traffic Anomalies via Dependency Violations
Federica Uccello, Simin Nadjm-Tehrani
Current research on security monitoring is increasingly focusing on machine-learning-based approaches, but caveats remain. In addition to huge computational overhead, one concern i…
cs.CR2025
Feature Attribution in 5G Intrusion Detection: A Statistical vs. Logic-Based Comparison
Federica Uccello, Simin Nadjm-Tehrani
With the rise of fifth-generation (5G) networks in critical applications, it is urgent to move from detection of malicious activity to systems capable of providing a reliable verdi…