• 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