Systems and methods for learning-based high-performance, energy-efficient, and secure on-chip communication design framework
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United States of America
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Feb 25, 2025
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Nov 4, 2021
app pub date -
May 4, 2021
filing date -
May 4, 2021
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Abstract
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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