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SYSTEMS AND METHODS FOR LEARNING-BASED HIGH-PERFORMANCE, ENERGY-EFFICIENT, AND SECURE ON-CHIP COMMUNICATION DESIGN FRAMEWORK
SYSTEMS AND METHODS FOR LEARNING-BASED HIGH-PERFORMANCE, ENERGY-EFFICIENT, AND SECURE ON-CHIP COMMUNICATION DESIGN FRAMEWORK
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机译:基于学习的高性能,节能和安全的片上通信设计框架的系统和方法
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摘要
Systems and methods are disclosed for improving on-chip security, while minimizes the latency and cost of security techniques to improve system-level performance and power simultaneously. The framework uses machine learning algorithms, such as an artificial neural network (ANN), for runtime attack detection with higher accuracy. Further, a learning-based attack mitigation method using deep reinforcement learning is disclosed, where the method may be used to isolate the malicious components and to optimize network latency and energy-efficiency.
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