IoT Privacy | Daniel Adu Worae

Adaptive Traffic Camouflage

Tue, 22 Sep 2026 00:00:00 +0000

Adaptive Traffic Camouflage protects device identity against traffic-based fingerprinting by selecting camouflage actions using observations from previously completed traffic windows. It assesses leakage, identifies resource-feasible actions, and applies guarded action selection under bandwidth and latency constraints. The framework is evaluated across public IoT traffic datasets and multiple attacker adaptation regimes.

Adaptive Traffic Camouflage: Causal and Resource-Aware Defense Against IoT Fingerprinting

Tue, 22 Sep 2026 00:00:00 +0000

Hiding in Plain Sight: An IoT Traffic Camouflage Framework for Enhanced Privacy

Sat, 25 Jan 2025 00:00:00 +0000

IoT Traffic Camouflage

Sat, 25 Jan 2025 00:00:00 +0000

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.