mlsanityData to 14 Oct 2026

XPhysICS: Cross-Physical-Domain Threat Grounding for Industrial Control Systems Security

arXiv 2609.30805 ↗First posted 25 Sep 2026cs.CR cs.AIcited by 0

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Abstract (arXiv)

Industrial control system attacks are usually documented in terms of the plant where they occurred: its sensors, actuators, process stages, and control logic. Yet many attacks express a more general physical pattern--such as suppressing flow, corrupting chemical dosing, or driving a vessel toward overflow--that may also matter in a different plant. The challenge is deciding when such a threat remains meaningful on a new system rather than relying on similar component names or broad semantic labels. We present XPhysICS, a methodology for grounding documented cyber-physical threats onto a specific target system. XPhysICS converts source evidence into a provenance-linked description of what is manipulated, what physical consequence is expected, and what observations the evidence calls for. Once this analyst-guided abstraction, its vocabulary and schema version, and a target contract are fixed, XPhysICS applies deterministic grounding checks. An accepted result can be represented as a validation slice that records the mapped roles, signals, dependencies, and context intended to support later evaluation. We study 83 threat abstractions across continuous-process and manufacturing sources using separate evaluation denominators. The continuous-process study evaluates 78 abstractions against target contracts spanning water treatment, water distribution, hydropower, and chemical processes. Selected cases are exercised through controlled perturbations of simulator-role signals. We also test compatibility with several analysis styles, including the released upstream GeCo implementation, and conduct a three-objective, one-target realizability study using a paper-derived search reproduction. Across these evaluated settings, the results support treating explicit target checks and traceable evidence as separate from semantic similarity alone.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 7 of its 38 references that are in the map. First posted on arXiv 25 Sep 2026.

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7 of 38 references.

References · 7

  1. 2025Representing Time-Continuous Behavior of Cyber-Physical Systems in Knowledge Graphscited by 4
  2. 2018Control Behavior Integrity for Distributed Cyber-Physical Systemscited by 3
  3. 2020An Ontological Metamodel for Cyber-Physical System Safety, Security, and Resilience Coengineeringcited by 2
  4. 2020Cyberphysical Security Through Resiliency: A Systems-centric Approachcited by 2
  5. 2022PowerDuck: A GOOSE Data Set of Cyberattacks in Substationscited by 2
  6. 2017A Model-Based Approach to Security Analysis for Cyber-Physical Systemscited by 1
  7. 2019Data Driven Vulnerability Exploration for Design Phase System Analysiscited by 1

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