Open AccessAlgorithm for predicting the health of an information system after exposure to cyberattacks
Author(s) -
А. В. Душкин,
S. S. Kochedykov
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/1069/1/012036
Subject(s) - intrusion detection system , computer science , software , data mining , information system , state (computer science) , work (physics) , intrusion , computer security , data science , machine learning , algorithm , engineering , operating system , mechanical engineering , geochemistry , geology , electrical engineering
The presented work proposes a systematic approach to the development of software for cyberattack detection systems and predicting the health of the information system. A formalized descriptive model of an intrusion detection system is presented. A complex of models is described that allow making diagnostic decisions about the state of software performance.