#attack-detection News & Analysis

2 articles tagged with #attack-detection. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBullisharXiv – CS AI · Mar 37/106

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Joint Sensor Deployment and Physics-Informed Graph Transformer for Smart Grid Attack Detection

Researchers developed a physics-informed graph transformer network (PIGTN) for smart grid attack detection, using genetic algorithms to optimize sensor placement. The system achieved up to 37% accuracy improvement and 73% better detection rates while reducing false alarms to 0.3% across multiple power system benchmarks.

AINeutralarXiv – CS AI · Mar 35/107

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SubstratumGraphEnv: Reinforcement Learning Environment (RLE) for Modeling System Attack Paths

Researchers developed SubstratumGraphEnv, a reinforcement learning framework that models Windows system attack paths using graph representations derived from Sysmon logs. The system combines Graph Convolutional Networks with Actor-Critic models to automate cybersecurity threat analysis and identify malicious process sequences.