Proceedings of the Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)

A Method of Route Leak Anomaly Detection Based on Heuristic Rules

Authors
Jingwei Liu, Bin Yang, Jinju Liu, Yuliang Lu, Kailong Zhu
Corresponding Author
Jingwei Liu
Available Online June 2017.
DOI
10.2991/ammee-17.2017.127How to use a DOI?
Keywords
inter-domain routing system, anomaly detection, AS relationship, route leak anomaly.
Abstract

This paper presents a method of route leak anomaly detection based on optimized "valley" rule. This paper amended the "valley" rule which used to detect route leak anomaly to improve the route leak detection precision. The experimental results show that the AS relationship recognition algorithm can recognize the AS relationship effectively and the amendment rules of route leak anomaly detection can be used to improve the detection precision effectively.

Copyright
© 2017, 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 Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)
Series
Advances in Engineering Research
Publication Date
June 2017
ISBN
10.2991/ammee-17.2017.127
ISSN
2352-5401
DOI
10.2991/ammee-17.2017.127How to use a DOI?
Copyright
© 2017, 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  - Jingwei Liu
AU  - Bin Yang
AU  - Jinju Liu
AU  - Yuliang Lu
AU  - Kailong Zhu
PY  - 2017/06
DA  - 2017/06
TI  - A Method of Route Leak Anomaly Detection Based on Heuristic Rules
BT  - Proceedings of the Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)
PB  - Atlantis Press
SP  - 662
EP  - 666
SN  - 2352-5401
UR  - https://doi.org/10.2991/ammee-17.2017.127
DO  - 10.2991/ammee-17.2017.127
ID  - Liu2017/06
ER  -