ItemConference Paper

A Software Package for Detecting Anomalies in User Authentication

Title
A Software Package for Detecting Anomalies in User Authentication
Creator
Lapina, Maria; Mary Anita, E.A.; Vechkanov, Alexey; Tokmakova, Marina; Lapin, Vitalii
Description
Anomaly detection is a very important tool for various applications such as intrusion detection, fraud, malfunction, system health monitoring and event detection in IoT devices. Recently, user authentication has become an extremely popular topic in information security research environments. The definition of user authentication is formulated as the process of verifying the identity declared by the user for a system object. Authentication is a method used to distinguish between true or false authentication requests. There are many methods used to authenticate a user that can identify valid users in protected resources. This article discusses various methods for analyzing abnormal user behavior in information systems, namely such methods as machine learning, neural networks, hybrid methods. Based on the analysis of system logs in the Astra Linux operating system, a software package has been developed to identify anomalies when trying to authenticate users. 2025 IEEE.
Source
Proceedings of 2025 IEEE International Conference on Contemporary Computing and Communications, InC4 2025;
Date
01-01-2025
Publisher
Institute of Electrical and Electronics Engineers Inc.
Subject
Abnormal Behavior; Artificial Intelligence; Audit Log; Deep Learning; Machine Learning; Neural Networks
Coverage
Lapina M., North Caucasian Federal University, Faculty of Mathematics and Computer Science named after prof. N. I. Chervyakov, Stavropol, Russian Federation; Mary Anita E.A., Christ University, Depatament of Computer Science, Bangalore, India; Vechkanov A., North Caucasian Federal University, Faculty of Mathematics and Computer Science named after prof. N. I. Chervyakov, Stavropol, Russian Federation; Tokmakova M., North Caucasian Federal University, Faculty of Mathematics and Computer Science named after prof. N. I. Chervyakov, Stavropol, Russian Federation; Lapin V., North Caucasian Federal University, Faculty of Mathematics and Computer Science named after prof. N. I. Chervyakov, Stavropol, Russian Federation
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISBN: 979-833152118-9;
Format
online
Language
English
Type
Conference paper

Citation

Lapina, Maria; Mary Anita, E.A.; Vechkanov, Alexey; Tokmakova, Marina; Lapin, Vitalii, “A Software Package for Detecting Anomalies in User Authentication,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 19, 2026, https://archives.christuniversity.in/items/show/26163.

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