Method of Estimating Information Threat for Autonomous Vehicles in Smart City

Abstract

The application of formal security models in the frame of a discretional security model to the problem of secure control of an autonomous vehicle in a smart city environment is considered. Modified information transfer relations and mapping of communication channels between an autonomous vehicle and other assets are presented. A characteristic of asset deviation that allows total security graph mapping to an effective local security graph is defined. The asset deviation takes into account both physical path length and “information distance” between the assets. An approach for the calculation of asset deviation is presented. A practical example of a cybersecurity architecture analysis of asset integrity for a system of autonomous vehicles in a smart enterprise environment is provided.