Eavesdropping Attack Detection Using Machine Learning in Network-on-Chip Architectures

IEEE Design & Test（2022）

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摘要

This article develops a machine-learning-based detection framework to detect eavesdropping attacks on networks-on-chip (NoCs).

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关键词

System-on-chip,network-on-chip,hardware security,eavesdropping attacks,machine learning

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