Autonomous unmanned vehicles are vital to tactical missions, mission-critical public-safety operations like search and rescue and disaster response. However, their reliance on open wireless links and standard Robot Operating System (ROS 2) middleware exposes a broad cyber-physical attack surface. A compromise of these...
Ryne Gonzales, Ethan Liesdyanto, Rex Worley et al.· 0 citations
A resilient, cross-layer framework that combines physical-layer spectral perception with network-layer routing optimization to protect middleware stability, such as ROS2, during intentional electromagnetic interference is introduced.
L. Barajas, Colin Jeardoe, Jaewon Kim et al.· 0 citations
This paper proposes a regime-sensitive, explainable artificial intelligence (XAI) framework to unmask the hidden roles of load, climate, and calendar variables in the ERCOT Day-Ahead Market (2014-2024), and introduces a Suppression Ratio to quantify how price lags overshadow physical parameters.
This paper introduces a universal ontology framework for the operational representation of intelligent cyber-physical power systems via a unified knowledge graph and an ontology capable of cross-domain reasoning, and validates the framework's efficacy for real-time decision support.
Sathvik Sankaranarayanan, Michael Mandulak, Ibrahim Shahbaz et al.· 0 citations
Synthesizing across four constraint-bound engineering domains, agentic AI trustworthiness is shown to be a single problem, with a path outlined toward a reusable, cross-domain assurance framework analogous to the graded certification regimes used by mature safety-critical engineering fields.
Omar Al-Refai, Ibrahim Shahbaz, A. Husseinat et al.· arXiv.org· 1 citation
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