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RepTC: Representation-Aware Optimization for Efficient Traffic Classification on Edge IoT Devices

Chehade, Adel et al.
arXiv (All) · Papers
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machine-learningnetworking-and-internet-architecture
Traffic classification (TC) is crucial to secure Internet of Things (IoT) networks, whose edge nodes often operate under privacy, bandwidth, and energy constraints. Yet, encrypted payloads and limited computing power make accurate, real-time TC a challenging task. Existing learning-based TC approach
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