Proceedings of the 2nd International Forum on Management, Education and Information Technology Application (IFMEITA 2017)

A Network Security Event Correlation Analysis Method Based on Attribute Similarity

Authors
Yue Gao, Shuying Zhang
Corresponding Author
Yue Gao
Available Online February 2018.
DOI
10.2991/ifmeita-17.2018.86How to use a DOI?
Keywords
Attribute Similarity; Network Security; Security Events; Correlation Analysis
Abstract

On the basis of studying the characteristics of network security incidents and the methods of correlation analysis. The paper defines the network security event attribute similarity algorithm. A network event correlation analysis method based on attribute similarity is proposed, and the detailed description of the algorithm is given. The experiment proves that this method can effectively reduce the number of network security incidents and solve the problem of massive alarm.

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 2nd International Forum on Management, Education and Information Technology Application (IFMEITA 2017)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
February 2018
ISBN
10.2991/ifmeita-17.2018.86
ISSN
2352-5398
DOI
10.2991/ifmeita-17.2018.86How 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  - Yue Gao
AU  - Shuying Zhang
PY  - 2018/02
DA  - 2018/02
TI  - A Network Security Event Correlation Analysis Method Based on Attribute Similarity
BT  - Proceedings of the 2nd International Forum on Management, Education and Information Technology Application (IFMEITA 2017)
PB  - Atlantis Press
SP  - 497
EP  - 501
SN  - 2352-5398
UR  - https://doi.org/10.2991/ifmeita-17.2018.86
DO  - 10.2991/ifmeita-17.2018.86
ID  - Gao2018/02
ER  -