Recording-Aware Evaluation of Multimodal OT Intrusion Detection

cs.CR, cs.LG

Submitted: 2026-10-16

Updated: 2026-10-16

Comments: 12 pages, 3 figures, 5 tables. Accepted for presentation at the Industrial Control System Security Workshop (ICSS 2026), held in conjunction with the IEEE Annual Computer Security Applications Conference (ACSAC 2026), Los Angeles, CA, USA, December 2026. Code and results are available at: https://github.com/ANTS-OntarioTechU/Recording-Aware-Evaluation-of-Multimodal-OT-Intrusion-Detection

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Related papers

• SoK: AI-Augmented Binary Reversing
• Relaxed Sender Anonymity for CBDC Interbank Settlement: A Zero-Knowledge Approach on Permissioned EVM
• Calibration-Family Overfit: Why Trusted Sabotage Monitors Don't Transfer Across Lineages
• Efficient Fuzzy PSI under One-Sided Assumptions
• Sealing the Audit-Runtime Gap for LLM Skills
• Token Composition: A Graph Based on EVM Logs