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Graph-Native Attention Acceleration for Attack Detection in Cyber-Physical Systems

US & West ·

A graph-native acceleration method for graph attention models is proposed to detect attacks in cyber-physical systems. Computational cost grows with neighborhood size, so the acceleration reduces inference latency.

Why it matters

Reducing attack detection latency is critical for security and timely response in cyber-physical systems.

Original headline
Graph-Native Attention Acceleration for Attack Detection in Cyber-Physical Systems
Read the original: arXiv — Systems and Control (eess.SY)

Translation and summary are machine-generated from the source. The full article is not republished; its rights belong to the source.

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