Automation of Information Security Risk Assessment
Akhmetov B. Lakhno V. Chubaievskyi V. Kaminskyi S. Adilzhanova S. Ydyryshbayeva M.
2022Polska Akademia Nauk
International Journal of Electronics and Telecommunications
2022#68Issue 3549 - 555 pp.
An information security audit method (ISA) for a distributed computer network (DCN) of an informatization object (OBI) has been developed. Proposed method is based on the ISA procedures automation by using Bayesian networks (BN) and artificial neural networks (ANN) to assess the risks. It was shown that such a combination of BN and ANN makes it possible to quickly determine the actual risks for OBI information security (IS). At the same time, data from sensors of various hardware and software information security means (ISM) in the OBI DCS segments are used as the initial information. It was shown that the automation of ISA procedures based on the use of BN and ANN allows the DCN IS administrator to respond dynamically to threats in a real time manner, to promptly select effective countermeasures to protect the DCS.
artificial neural networks , audit , Bayesian network , information security
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Yessenov University, Aktau, Kazakhstan
National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine
Kyiv National University of Trade and Economics, Kyiv, Ukraine
Al-Farabi Kazakh National University, Almaty, Kazakhstan
Yessenov University
National University of Life and Environmental Sciences of Ukraine
Kyiv National University of Trade and Economics
Al-Farabi Kazakh National University
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