Investigation of attacks on modern and prospective crypto devices, systems, information security monitoring, multi-agent systems and the development of methods and algorithms to improve the reliability of modern devices

One direction of development of the information security theory is the development of models and methods aimed at detection of potential vulnerabilities of multi-agent systems with decentralized management. The aim is to develop an approach that uses the Markov chains, estimation of a safe condition of multi-agent robotic systems undergoing the processes of informational influence. The possibilities of application of scientific Markov processes for modeling processes of informational influence on a decentralized multi-agent robotic system are investigated. The formula dependences for analytical modeling aimed to obtain probabilistic values of finding the system in safe condition are obtained. An experiment aimed at assessing the state of information security of robotic systems, which are exposed to unauthorized influence, giving the opportunity to compare the data was conducted