Industrial Control System Security

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17 papers2 papers in the last four weeks, down 50% on the four weeks before. 0.0% of all new papers.

AWARE-RG: Abstraction Aware Explanation of Resiliency Graphs for Cyber Physical Systems
Oct 14, 2026Shadaab Kawnain Bashir, Rakesh Podder, Philip D. Hopkins +3CPS Security Cybersecurity
Computer Science Department, Colorado State University, Fort Collins, Colorado, USA
XPhysICS: Cross-Physical-Domain Threat Grounding for Industrial Control Systems Security
Sep 25, 2026Sangshin Park, Jainta Paul, Lawrence Ponce +3Cyber-Physical Systems Cyber Threat Intelligence
University of Utah, Salt Lake City, Utah, USA · Kahlert School of Computing, University of Utah, Salt Lake City, Utah, USA
Learning Intrusion Response Strategies for OT Systems
Sep 9, 2026Duc Huy Le, Rolf StadlerAutonomous Cyber Defense Cybersecurity
Dept. of Network and Systems Engineering KTH Royal Institute of Technology, Stockholm, Sweden
Towards a Resilience-Theoretic Foundation for Adversarial Robustness in Industrial Control System Anomaly Detection
Sep 7, 2026Branka Stojanović, Andreas Flatscher, Michael SommaCyber-Physical Systems Adversarial Robustness
1JOANNEUM RESEARCH Forschungsgesellschaft mbH, Austria · 2TU Graz, Institute for Technical Informatics, Austria
PLCBench: Can Autonomous LLM Agents Turn PLC Access into Sustained Physical Impact?
Aug 27, 2026Yitian Zhou, Jingyu Zheng, Qiliang Jiang +6Industrial Control System Security Cybersecurity
Zhejiang University · Xi’an Jiaotong University · University of Bristol
Robustness of Anomaly Detection Models for Industrial Control Systems under Training-Time Data Contamination
Aug 24, 2026Mustafa Umut Ozbek, Taiwo Ojo, Pooria Madani +2Industrial Control System Security Anomaly Detection
Ontario Tech University, Oshawa, Ontario, Canada
BGA: A noise-immune neural distillation framework for malicious signature extraction in high-entropy encrypted flows
Aug 14, 2026Sheng Hong, Yixuan Huang, Weiwei Jiang +3Industrial Control System Security Cybersecurity
School of Cyber Science and Technology, Beihang University, Beijing, 100191, China · School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876, China · Beijing Electronic Science and Technology Institute, Beijing, 100070, China
Neuro-Agentic Control: A Deep Learning-based LLM-Powered Agentic AI Framework for Controlling Security Controls
Jul 10, 2026Saroj Gopali, Bipin Chhetri, Deepika Giri +2Industrial Control System Security Language Model-Based Control
Department of Computer Science1, Texas Tech University1 · Cumberland University2 · Advanced Academic Programs Science3, Johns Hopkins University3
Detecting Ladder Logic Bombs in IEC 61131-3 PLC Programs using ESBMC-PLC+: A Formal Verification Approach with Trigger Synthesis
Jul 9, 2026Pierre Dantas, Lucas Cordeiro, Waldir JuniorIndustrial Control System Security Cybersecurity
Electrical Engineering Federal University of Amazonas (UFAM) Manaus, AM, Brazil
IstGPT: LLM-based Anomaly Detection for Spatial-Temporal Graph in Industrial Systems
Jun 1, 2026Yuchen Zhang, Ning Xi, Pengbin Feng +5LLMs for Cybersecurity Reconstruction-Based Anomaly Detection
School of Cyber Engineering, Xidian University, Xi’an 710126, China · School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Hawthorn, VIC, Australia · School of Computer Science and Technology, Xidian University, Xi’an 710126, China
APIOT: Autonomous Vulnerability Management Across Bare-Metal Industrial OT Networks
May 4, 2026Adel ElZemity, Budi Arief, Shujun Li +6Industrial Control System Security Autonomous Cyber Defense
University of Kent, Canterbury, United Kingdom · University of Bristol, United Kingdom
PhaseNet++: Phase-Aware Frequency-Domain Anomaly Detection for Industrial Control Systems via Phase Coherence Graphs
Apr 30, 2026Raviteja Bommireddy, Varshith Bandaru, Lohith Pakala +1Industrial Anomaly Detection Anomaly Detection
Department of CSE IIITDM Kancheepuram Chennai, India
Medoid Prototype Alignment for Cross-Plant Unknown Attack Detection in Industrial Control Systems
Apr 28, 2026Luyao WangDomain Adaptation Network Intrusion Detection
University of Malaya Malaysia
Neuromorphic Continual Learning for Sequential Deployment of Nuclear Plant Monitoring Systems
Apr 13, 2026Samrendra Roy, Sajedul Talukder, Syed Bahauddin AlamIndustrial Control System Security Industrial Anomaly Detection
University of Illinois Urbana-Champaign Department of Nuclear, Plasma & Radiological Engineering Urbana, IL, USA · University of Texas at El Paso Department of Computer Science El Paso, TX, USA · National Center for Supercomputing Applications Urbana, IL, USA
CritBench: A Framework for Evaluating Cybersecurity Capabilities of Large Language Models in IEC 61850 Digital Substation Environments
Apr 7, 2026Gustav Keppler, Moritz Gstür, Veit HagenmeyerIndustrial Control System Security LLM Agent Evaluation
Karlsruhe Institute of Technology (KIT)
Cyber-Resilient Digital Twins: Discriminating Attacks for Safe Critical Infrastructure Control
Mar 19, 2026Mohammadhossein Homaei, Iman Khazrak, Rubén Molano +2CPS Security Industrial Control System Security
Departamento de Ingeniería de Sistemas Informáticos y Telemáticos, Universidad de Extremadura, Av. Universidad S/N, Escuela Politécnica, Cáceres, 10003, Extremadura, Spain · Department of Computer Science, Bowling Green State University, Bowling Green, 43403, OH, USA
Spatio-Temporal Attention Graph Neural Network: Explaining Causalities With Attention
Mar 11, 2026Kosti Koistinen, Kirsi Hellsten, Joni Herttuainen +1Industrial Anomaly Detection Industrial Control System Security
Aalto University School of Science Computer Science Department P.O.Box 11000, 00076 AALTO, Finland

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AWARE-RG: Abstraction Aware Explanation of Resiliency Graphs for Cyber Physical Systems

Shadaab Kawnain Bashir, Rakesh Podder, Philip D. Hopkins, Sarath Sreedharan+2

Computer Science Department, Colorado State University, Fort Collins, Colorado, USA

CPS Security Cybersecurity Industrial Control System Security Cyber-Physical Systems Reachability Analysis

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Understanding the security posture of cyber physical systems (CPS) requires reasoning across both information technology (IT) and operational technology (OT). However, a security analyst often holds an incomplete, role-specific view of the underlying system which has most likely resulted from their knowledge limited by a need-to-know framework. Such an incomplete view can potentially lead them to incorrectly assess if a cyber attack produces an untoward physical consequence resulting in making uninformed decisions about system resilience. In this work, we present AWARE-RG (Abstraction Aware Explanation of Resiliency Graphs), a semi-automated, human-in-the-loop framework that provides an analyst with a role-bounded, need-to-know explanations of resiliency paths in a CPS. The AWARE-RG abstraction structure is derived using Formal Concept Analysis over MITRE ATT&CK for ICS tactics, ordered by the ICS Cyber Kill Chain. For valid attack-fault queries, plan repair and backward means-end analysis identify the missing dependencies, explain why the physical hazard is reachable, and suggest defensive strategies. For invalid attack-fault queries, AWARE-RG localizes the first abstraction level at which the path fails, and reports confirmed blocking conditions as hardening pointers.