Using machine learning techniques for insider threat detection-Reference-Cited by-同舟云学术

Using machine learning techniques for insider threat detection

Published:2022-12-04 Issue:4 Volume:16 Page:80-95
ISSN:1998-6920
Container-title:The Herald of the Siberian State University of Telecommunications and Informatics
language:
Short-container-title:jour

Author:

Gaiduk K. A.¹,Iskhakov A. Y.²^ORCID

Affiliation:

1. National Research Nuclear University MEPHI. Moscow Engineering Physics Institute

2. ICS RAS

Abstract

This paper presents an analysis of algorithms and approaches used to solve the problem of identifying insider threats using machine learning techniques. Internal threat detection in the context of this research is reduced to the task of detecting anomalies in the audit logs of access subjects' actions. The paper formalizes the main directions of insider threats detection and presents popular machine learning algorithms. The paper raises the problem of objective evaluation of research and development in the subject area. Based on the analysis recommendations for the implementation of internal threat detection systems using machine learning algorithms are developed.

Publisher

Siberian State University of Telecommunications and Informatics

Reference28 articles.

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