Robust Stealthy Attacks Based on Uncertain Costs and Labeled Finite Automata With Inputs
Author:
Affiliation:
1. LIS, Aix-Marseille University, CNRS, Marseille, France
2. ENS Paris-Saclay, LURPA, Paris, France
3. Université Le Havre Normandie, GREAH, Le Havre, France
Funder
CPSecurity
Agence Nationale de la Recherche
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/7083369/10073596/10054432.pdf?arnumber=10054432
Reference22 articles.
1. Probabilistic state estimation for labeled continuous time Markov models with applications to attack detection;lefebvre;Discrete Event Dyn Syst,2022
2. A Stochastic Assessment of Attacks based on Continuous-Time Markov Chains
3. Costs analysis of stealthy attacks with bounded output synchronized Petri nets
4. Error- and Tamper-Tolerant Decentralized Diagnosability of Discrete Event Systems under Cost Constraints
5. Min–max and min–max regret versions of combinatorial optimization problems: A survey
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2. Attack Synchronizing Sequence Computation for Output Synchronized Petri Nets with Multiple Deadlocks;2023 IEEE International Conference on Networking, Sensing and Control (ICNSC);2023-10-25
3. Construction of Model-based Diagnosis of Cyber-Attack in Cyber-Physical Systems Using Labeled Petri Nets;2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA);2023-09-12
4. Intermediate Estimator-based Attack Reconstruction for Cyber-Physical Systems;2023 5th International Conference on Industrial Artificial Intelligence (IAI);2023-08-21
5. A classification of cybersecurity strategies in the context of Discrete Event Systems;Annual Reviews in Control;2023
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