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.
Securing cyber-physical systems: An optimization framework based on OSSTMM and genetic algorithms
Tortorelli A.;Germana R.;Liberati F.;
2019-01-01
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.File in questo prodotto:
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