Open AccessAlgorithmization of processes for detecting vulnerabilities of UMV interfaces based on probabilistic automata
Author(s) -
А. В. Скатков,
A.A. Bryukhovetsky,
Д. В. Моисеев
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1047/1/012147
Subject(s) - computer science , probabilistic logic , automaton , state (computer science) , channel (broadcasting) , distributed computing , finite state machine , real time computing , artificial intelligence , programming language , computer network
The algorithmic approach based on the methods of adaptive intelligent technology for monitoring the state of objects of computer systems is considered. The approach is focused on the detection of changes in the state of controlled unmanned vehicle resources: communication channel, processor, memory. An adaptive model using the Bayesian classifier for assessing changes in the state of unmanned vehicle resources is presented. The model is based on a probabilistic automaton with adaptive self-tuning. The approach proposed in the article is focused on solving problems of detecting moments in time of changes in the state of controlled unmanned vehicle objects, which are resources: communication channel, processor, memory.