Proceedings of the 2018 3rd International Conference on Communications, Information Management and Network Security (CIMNS 2018)

Methods of Testing of the Corporate Network’s Traffic Anomalies

Authors
Nikita Kulyаsov, Sergey Isaev
Corresponding Author
Nikita Kulyаsov
Available Online November 2018.
DOI
10.2991/cimns-18.2018.13How to use a DOI?
Keywords
network anomalies; cybersecurity; anomaly detection system; intrusion detection system
Abstract

This article gives an overview of the existing methods and software products designed to analyze anomalies that may indicate the occurrence of cyber-threats. On their basis, we propose our own original software tool that allows automatic detection of anomalies and subsequent detailed analysis of network service logs according to the metrics chosen by the administrator. The software tool is designed as a web application integrated into the existing infrastructure of the corporate network of a scientific organization. Implementation of our web application showed the relevance and demand of the anomaly detection systems’ development.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 3rd International Conference on Communications, Information Management and Network Security (CIMNS 2018)
Series
Advances in Computer Science Research
Publication Date
November 2018
ISBN
978-94-6252-620-4
ISSN
2352-538X
DOI
10.2991/cimns-18.2018.13How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Nikita Kulyаsov
AU  - Sergey Isaev
PY  - 2018/11
DA  - 2018/11
TI  - Methods of Testing of the Corporate Network’s Traffic Anomalies
BT  - Proceedings of the 2018 3rd International Conference on Communications, Information Management and Network Security (CIMNS 2018)
PB  - Atlantis Press
SP  - 59
EP  - 62
SN  - 2352-538X
UR  - https://doi.org/10.2991/cimns-18.2018.13
DO  - 10.2991/cimns-18.2018.13
ID  - Kulyаsov2018/11
ER  -