ავტორი: Kateryna Mokliakova , Tetiana Babenko, Andrii Bigdan, Vira Ignisca
ორგანიზაცია: Faculty of Information Technology, Taras Shevchenko National University of Kyiv, Ukraine


საკვანძო სიტყვები: information security auditor, personnel evaluation, critical infrastructure facilities, Rush model, Binary selection with logistic function, artificial neural networks
აბსტრაქტი. In this article, we describe an approach to mitigate information security auditors hiring process with usage of different models combination. A method of assessing the professional competencies of information security auditors that work with critical infrastructure facilities based on certification built using Rush models and Binary selection of personnel using the logistics function, and automated with artificial network application


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