Open AccessA model for detecting vulnerabilities in UMV interfaces, based on probabilistic automata
Author(s) -
А. В. Скатков,
A. A. Bryukhovetskiy,
Д. В. Моисеев
Publication year - 2020
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/971/3/032090
Subject(s) - computer science , probabilistic logic , automaton , parametric statistics , data mining , artificial intelligence , mathematics , statistics
The main features associated with the development and research of methods of adaptive intelligent technology for monitoring the state of objects of computer systems are considered. The proposed approach is focused on detecting moments of change in the state of controlled UMV resources, which are: communication channel, processor, memory. The aim of this work is to develop an adaptive model using a Bayesian classifier for estimating the state of UMV resources. The model is based on a probabilistic automaton with parametric self-tuning.