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