Identifying a potential insider using classification models

Abstract

Classification models based on statistical data have been developed that make it possible to identify a potential insider based on the indicators that manifest in the context of data incompleteness regarding the insider’s behavior.

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Authors and Affiliations

1. National Research Nuclear University Moscow Engineering Physics Institute, Moscow, 115409, Russia

   A. S. Zaytsev & A. A. Malyuk

Authors

1. A. S. Zaytsev
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2. A. A. Malyuk
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Correspondence to A. S. Zaytsev.

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Original Russian Text © A.S. Zaytsev, A.A. Malyuk, 2017, published in Problemy Informatsionnoi Bezopasnosti, Komp’yuternye Sistemy.

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Zaytsev, A.S., Malyuk, A.A. Identifying a potential insider using classification models. Aut. Control Comp. Sci. 51, 860–866 (2017). https://doi.org/10.3103/S0146411617080259

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• Received: 19 August 2016

• Published: 01 March 2018

• Issue Date: December 2017

• DOI: https://doi.org/10.3103/S0146411617080259

Keywords

• internal information security threads
• data analysis
• classification models
• CHAID
• neural networks