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The survey organizes OT/IT cybersecurity along four axes: a taxonomy of IT–OT boundary attack vectors, a review of defensive technologies and remaining gaps, a cross-validated set of 69 major incidents from 2010–2025 with sector-wise commercial impacts, and a mapping of key regulations and compliance regimes. A healthcare deep-dive illustrates high-consequence threat modeling and resilience investment tradeoffs.","arXiv :2502 . 140 17v4 [ cs .CR] 12 Jul 2026  \nCyber security of OT networks: A tutorial, survey of attacks and overview of current state of defense tools, protocols, & challenges  \nHarsh Vardhana,1,∗, Sarthak Kapoorb,1 , Sumit Kumarc,1 , Daniel Balasubramaniana , Sandeep Neemaa  \na Vanderbilt University, USA  \nb Engineering at Amazon, USA  \nc Georgia State University, USA  \nAbstract  \nThe convergence of Operational Technology (OT) and Information Technology (IT) under Industry 4.0 has widened the cyber-attack surface of critical infrastructure across manufacturing, energy, transportation, water, and healthcare. This survey synthesizes OT/IT cybersecurity along four axes. First, we taxonomize attack vectors that traverse the IT–OT boundary, separating IT-side initial access (phishing, exploits, supplychain compromise, exposed remote access) from OT-side propagation and impact (insecure protocols, weak authentication, firmware tampering, control-logic manipulation) . Second, we review defensive technologies—signature-based intrusion detection, AI/ML anomaly detection, Zero Trust Architecture, blockchain-based event logging, digital twins, and OT-aware Security Operations Centers—and identify remaining gaps: OTspecific patch management, dataset scarcity for ML, IoMT segmentation, and the absence of consistent resilience metrics. Third, we compile a cross-validated historical record of 69 high-impact incidents spanning 2010–2025, from Stuxnet to Jaguar Land Rover, and quantify their commercial effects sector by sector using figures sourced from SEC filings, government post-incident reviews, and primary regulatory disclosures. Fourth, we map the regulatory landscape: NIST Cybersecurity Framework 2.0 and SP 800-82 Rev. 3, IEC 62443, the EU NIS2 Directive, DORA, the Cyber Resilience Act, NERC CIP, and healthcare-specific regimes (IEC 80001-1, FDA, NIST SP 1800-8) . A sectoral deep-dive on healthcare illustrates the IT–OT convergence threat model under high-consequence conditions. The result is a single, source-traceable reference on where OT/IT cybersecurity stands, what the historical record costs defenders who lag, and where investment yields the highest marginal return on resilience.  \nKeywords: Operational Technology, cyber attacks, OT Cybersecurity tools, Cybersecurity regulations, Attack cost estimation, Cyber Resilience  \n1. Introduction  \nOperational Technology (OT) networks govern the physical processes that underpin modern society—electric power generation and distribution, oil and gas transport, water treatment, discrete and continuous manufacturing, rail and port logistics, and increasingly hospital facilities and biomedical production. These networks are built from Supervisory Control and Data Acquisition (SCADA) systems, Programmable Logic Controllers (PLCs), Distributed Control Systems (DCS), Remote Terminal Units (RTUs), Human–Machine Interfaces (HMIs), and field instrumentation that close real-time control loops over deterministic protocols. For most of their history, OT networks were physically and logically isolated from corporate Information Technology (IT) environments. That isolation has eroded. Industry 4.0, predictive-maintenance analytics, cloud-based historians, remote engineering access, and the proliferation of Industrial Internet of Things (IIoT) and Internet of Medical Things (IoMT) endpoints have driven deep IT–OT convergence [1, 2, 3] . The same convergence that yields operational visibility and analytic insight also exposes legacy controllers—designed for availability and determinism, not adversarial resilience—to a much larger attack  \n∗ Corresponding author  \nEmail address: [harsh.vardhan@vanderbilt.edu](harsh.vardhan@vanderbilt.edu) (Harsh Vardhan)  \n1 These authors contributed equally to this work.  \nPreprint submitted to International Journal of Critical Infrastructure Protection July 14, 2026  \nsurface. The consequences are no longer limited to data loss. Stuxnet (2010) physically damaged centr","cbCaikt8Y7caSrAv","https://ap.wps.com/l/cbCaikt8Y7caSrAv","pdf",1947171,1,47,"English","en",105,"# Introduction\n## Scope and Research Questions\n## Contributions","[{\"question\":\"What is the main focus of the survey on OT cybersecurity?\",\"answer\":\"The survey focuses on cybersecurity at the IT–OT interface and within OT itself, addressing how attacks traverse the boundary and affect OT assets, as well as available controls, gaps, and incident-driven impact.\"},{\"question\":\"How does the survey structure its analysis of attacks?\",\"answer\":\"It taxonomizes attack vectors across four themes: IT-side initial access moving into OT-side propagation and impact, then examines remaining defensive and operational gaps based on current tools and practices.\"},{\"question\":\"Which kinds of defensive technologies and standards are reviewed?\",\"answer\":\"Defensive technologies include signature-based intrusion detection, AI/ML anomaly 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is the main focus of the survey on OT cybersecurity?","Question",{"text":74,"@type":75},"The survey focuses on cybersecurity at the IT–OT interface and within OT itself, addressing how attacks traverse the boundary and affect OT assets, as well as available controls, gaps, and incident-driven impact.","Answer",{"name":77,"@type":72,"acceptedAnswer":78},"How does the survey structure its analysis of attacks?",{"text":79,"@type":75},"It taxonomizes attack vectors across four themes: IT-side initial access moving into OT-side propagation and impact, then examines remaining defensive and operational gaps based on current tools and practices.",{"name":81,"@type":72,"acceptedAnswer":82},"Which kinds of defensive technologies and standards are reviewed?",{"text":83,"@type":75},"Defensive technologies include signature-based intrusion detection, AI/ML anomaly detection, Zero Trust Architecture, blockchain-based logging, digital twins, and OT-aware Security Operations Centers, alongside 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