IoT Traffic Camouflage
Jan 25, 2025
·
1 min read
IoT Traffic Camouflage studies practical traffic obfuscation mechanisms that reduce metadata leakage from encrypted IoT communications. The framework evaluates padding, shifting, fragmentation, constant-size padding, and delay randomization across public IoT datasets.
Authors
Daniel Adu Worae
(he/him)
Ph.D. Candidate in Computer Science and Engineering
I am a Ph.D. Candidate in Computer Science and Engineering at the University of Notre Dame. My research focuses on secure, interpretable, and privacy-preserving IoT systems, with emphasis on network traffic analysis, anomaly detection, retrieval-augmented generation, and LLM-augmented operational intelligence.