14 citations · 15 across the 3 of their papers we have counts for
4 papers
SADE: Symptom-Aware Diagnostic Escalation for LLM-Based Network Troubleshooting
Kuan-Hao Tseng, Niruth Bogahawatta, Yasod Ginige +3
Large language model (LLM) agents are increasingly applied to network troubleshooting, but root-cause localization on public benchmarks remains well below practical deployment thre…
Generalizable IoT Traffic Representations for Cross-Network Device Identification
Arunan Sivanathan, David Warren, Deepak Mishra +8
Machine learning models have demonstrated strong performance in classifying network traffic and identifying Internet-of-Things (IoT) devices, enabling operators to discover and man…
Unveiling Behavioral Transparency of Protocols Communicated by IoT Networked Assets (Full Version)
Savindu Wannigama, Arunan Sivanathan, Ayyoob Hamza +1
Behavioral transparency for Internet-of-Things (IoT) networked assets involves two distinct yet interconnected tasks: (a) characterizing device types by discerning the patterns exh…
IoT Behavioral Monitoring via Network Traffic Analysis
Arunan Sivanathan
Smart homes, enterprises, and cities are increasingly being equipped with a plethora of Internet of Things (IoT), ranging from smart-lights to security cameras. While IoT networks…