DocumentCode :
3745493
Title :
Anomaly Detection of AS-Level Internet Evolution Based on Temporal Distance
Author :
Yan-Qing Zhang;Bin Yang;Yu-Liang Lu;Guo-Zheng Yang
Author_Institution :
Electron. Eng. Inst., Hefei, China
fYear :
2015
Firstpage :
631
Lastpage :
634
Abstract :
As the Inter-domain routing security problem becomes increasingly prominent, the detection of AS (Autonomous System)-level Internet evolution has become a research hotspot. This paper introduces AS Reach ability Distance (ASRD) and AS Connectivity Distance (ASCD) based on temporal distance, used to characterize the difference of AS reach ability and connectivity at different time respectively, and based on ASRD and ASCD, an algorithm of continuously detecting AS-level Internet anomalies is proposed. Experiments show that the proposed method can not only detect AS-level Internet anomalous event accurately, but also reveal the evolution laws of AS-level Internet in the long term.
Keywords :
"Internet","Feature extraction","Time measurement","IP networks","Time series analysis","Mathematical model","Routing"
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement, Computer, Communication and Control (IMCCC), 2015 Fifth International Conference on
Type :
conf
DOI :
10.1109/IMCCC.2015.138
Filename :
7405917
Link To Document :
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