Patent · US Active

Systems and methods for learning-based high-performance, energy-efficient, and secure on-chip communication design framework

US12238126B2 · kind B2 · utility

0Cited by

2References

17Claims

0Family size

Assignee

The George Washington University · US

Inventors

Ke Wang · Alexandria, US
Hao Zheng · Arlington, US
Ahmed Louri · Vienna, US

Key dates

Filing date	May 4, 2021
Grant date	Feb 25, 2025
Priority date	—
Expiry date	Nov 17, 2043

Classification

Technology area (CPC G)Physics
CPC primaryG05B2219/25198
WIPO fieldComputer technology
WIPO sectorElectrical engineering

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.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.