Problem
Research questions and friction points this paper is trying to address.
IoT Fingerprinting
Traffic Shape
Causal Defense
Resource-Aware
Adaptive Traffic Camouflage: Causal and Resource-Aware Defense Against IoT Fingerprinting
🤖 AI Summary
该研究提出了一种自适应流量伪装方法，通过选择合适的流量转换策略来对抗物联网设备的指纹识别问题，同时控制了带宽和延迟开销。
📝 Abstract
Encryption hides IoT payloads, but traffic shape can still reveal device identity through packet sizes, timing, direction, and packetization. We present Adaptive Traffic Camouflage, a causal, leakage-aware controller that characterizes traffic-shape leakage without runtime device labels and selects a budget-feasible transformation for the next traffic window from previous-window context. The controller chooses among padding, packet splitting, timing, and composite transformations, or leaves traffic unchanged when camouflage is unnecessary. We evaluate the design on CIC-IoT-2022, IoT Sentinel, and UNSW using classical and sequence-based fingerprinting models under clean-trained, defense-aware, and incremental-exposure settings, with fixed, random, and mean-bandwidth-matched baselines. Under the Balanced profile, camouflage reduces mean Macro-F1 by 13.2-23.3% relative to clean traffic with 4.88-7.47% average bandwidth overhead and at most 0.64 ms added latency. Under the larger Privacy profile, the reduction increases to 28.0-43.5%. Defense-aware training recovers much of the lost attacker performance on CIC-IoT-2022 and UNSW, while IoT Sentinel retains a substantial privacy gap. A non-causal same-window reference provides only modest additional benefit over previous-window control, and metadata-rich attackers remain effective outside the targeted traffic-shape surface. These results show that causal, resource-aware camouflage can reduce IoT traffic-shape fingerprintability under explicit communication constraints, while the persistence of protection depends on how readily the defended distribution can be learned.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Adaptive Traffic Camouflage
causal and resource-aware
traffic-shape leakage
budget-feasible transformation
IoT fingerprinting defense
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