Securing cyber-physical systems: An optimization framework based on OSSTMM and genetic algorithms. Giuseppi, A., Tortorelli, A., Germana, R., Liberati, F., & Fiaschetti, A. 2019.
doi  abstract   bibtex   
This paper presents an optimization framework, based on Genetic Algorithms, for the control of the 'security level' of a Cyber-Physical System (CPS). The security level is a quantity that has been studied in several industrial standards, among which we selected the Open Source Security Testing Methodology Manual (OSSTMM). The proposed optimization solution is validated on scenarios representative of real operations of a security evaluator, and numerical simulations report the performances obtained by the algorithm. © 2019 IEEE.
@CONFERENCE{Giuseppi201950,
author={Giuseppi, A. and Tortorelli, A. and Germana, R. and Liberati, F. and Fiaschetti, A.},
title={Securing cyber-physical systems: An optimization framework based on OSSTMM and genetic algorithms},
journal={27th Mediterranean Conference on Control and Automation, MED 2019 - Proceedings},
year={2019},
pages={50-56},
doi={10.1109/MED.2019.8798506},
art_number={8798506},
abstract={This paper presents an optimization framework, based on Genetic Algorithms, for the control of the 'security level' of a Cyber-Physical System (CPS). The security level is a quantity that has been studied in several industrial standards, among which we selected the Open Source Security Testing Methodology Manual (OSSTMM). The proposed optimization solution is validated on scenarios representative of real operations of a security evaluator, and numerical simulations report the performances obtained by the algorithm. © 2019 IEEE.},
author_keywords={Cyber-Phisycal systems;  Optimal Planning;  Security},
keywords={Cyber Physical System;  Genetic algorithms, Cyber-physical systems (CPS);  Industrial standards;  Optimal planning;  Optimization framework;  Optimization solution;  Security;  Security level;  Security testing, Embedded systems},
document_type={Conference Paper},
}

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