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Author

S. Bhattacharya

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#artificial intelligence Preprint Oct 2026

CyTReX: Explainable AI-Based Cybersecurity Threat Reasoning Framework for DER Networks

Distributed Energy Resource (DER) environments rely on network communication protocols to coordinate control commands, measurements, and device states across edge assets and cloud systems. Edge anomaly detection systems (ADS) monitor this traffic to identify deviations from normal communication behavior, flagging suspi...

D. Popoola, S. Bhattacharya, M. Govindarasu · 0 citations
Sep 2026

AI-Enabled Security Operations Center (SOC) for Modern Power Grids: Bridging the Gap Between the Cybersecurity and Grid Operations

The electric power grid is undergoing a fundamental transformation driven by the widespread deployment of distributed energy resources (DERs), digital substations, advanced metering infrastructure (AMI), and Industrial Internet of Things (IIoT) devices. Cloud platforms and edge computing are increasingly used to suppor...

D. Popoola, S. Bhattacharya, A. Hahn et al. · 0 citations
#artificial intelligence Open access Jul 2026

Self-Verifying Anomaly Detection using Explainable AI for Cybersecurity of DER Networks

An XAI-based anomaly detection framework tailored for DER networks (ExCYDER) that distinguished between coherent and inconsistent alerts without compromising detection accuracy, demonstrating that integrated verification within XAI-based ADS enhances interpretability, auditability, and operational robustness for DER-fo...

D. Popoola, S. Bhattacharya, M. Govindarasu · 1 citation

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