BRIDG-ICS: AI-Grounded Knowledge Graphs for Intelligent Threat Analytics in Industry~5.0 Cyber-Physical Systems
Padmeswari Nandiya, Ahmad Mohsin, Ahmed Ibrahim, Iqbal H. Sarker, Helge Janicke

TL;DR
BRIDG-ICS is an AI-driven knowledge graph framework that integrates diverse industrial and cybersecurity data to enable advanced threat analysis and resilience assessment in Industry 5.0 cyber-physical systems.
Contribution
It introduces a novel AI-enriched knowledge graph that combines heterogeneous data, uses LLMs for semantic enrichment, and supports multi-hop threat reasoning in industrial environments.
Findings
Scales effectively in simulated industrial scenarios.
Reduces potential attack exposure.
Enhances cyber-physical system resilience.
Abstract
Industry 5.0's increasing integration of IT and OT systems is transforming industrial operations but also expanding the cyber-physical attack surface. Industrial Control Systems (ICS) face escalating security challenges as traditional siloed defences fail to provide coherent, cross-domain threat insights. We present BRIDG-ICS (BRIDge for Industrial Control Systems), an AI-driven Knowledge Graph (KG) framework for context-aware threat analysis and quantitative assessment of cyber resilience in smart manufacturing environments. BRIDG-ICS fuses heterogeneous industrial and cybersecurity data into an integrated Industrial Security Knowledge Graph linking assets, vulnerabilities, and adversarial behaviours with probabilistic risk metrics (e.g. exploit likelihood, attack cost). This unified graph representation enables multi-stage attack path simulation using graph-analytic techniques. To…
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Taxonomy
TopicsSmart Grid Security and Resilience · Information and Cyber Security · Infrastructure Resilience and Vulnerability Analysis
