Identification of the Nature of Threats to the Economic and Functional Security of Intelligent Onboard Systems and the Selection of Protection by Machine Learning

The problem of ensuring economic security in the field of development and production of intelligent on-board systems is considered by choosing the optimal set of operations and measures of an organizational and technological nature, identifying and analyzing the cause-and-effect nature of threats and choosing adequate measures to counter them according to the criterion of optimal expected costs or maximum security with restrictions in the form of given allowable costs for them. Its solution is proposed by machine learning methods and evolutionary optimization algorithms.