Email this article Identifying a potential insider using classification models
- Authors: Zaytsev A.S.1, Malyuk A.A.1
-
Affiliations:
- National Research Nuclear University Moscow Engineering Physics Institute
- Issue: Vol 51, No 8 (2017)
- Pages: 860-866
- Section: Article
- URL: https://journals.rcsi.science/0146-4116/article/view/175011
- DOI: https://doi.org/10.3103/S0146411617080259
- ID: 175011
Cite item
Open Access
Access granted
Subscription Access
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.
About the authors
A. S. Zaytsev
National Research Nuclear University Moscow Engineering Physics Institute
Author for correspondence.
Email: anthony.zaytsev@gmail.com
Russian Federation, Moscow, 115409
A. A. Malyuk
National Research Nuclear University Moscow Engineering Physics Institute
Email: anthony.zaytsev@gmail.com
Russian Federation, Moscow, 115409
