Anomaly identification based on flow analysis

The Quyent Le, Marat Zhanikeev, Yoshiaki Tanaka

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

Recently, the concern about network management and network security has inspired many research topics, among which, research on detecting and identifying anomalies has attracted a lot of interest. In this paper, we propose an anomaly identification method based on traffic flow analysis. The result of the research proves that by assembling some features of traffic flows and calculating some specific extended metrics, we can successfully detect and identify network anomalies with high accuracy. Besides, the method also proves its efficiency with the ability to quantify network anomalies and locate relevant network nodes. The research validity has been verified by both simulation data and real network data.

本文言語English
ホスト出版物のタイトル2006 IEEE Region 10 Conference, TENCON 2006
DOI
出版ステータスPublished - 2007 8 8
イベント2006 IEEE Region 10 Conference, TENCON 2006 - Hong Kong, China
継続期間: 2006 11 142006 11 17

出版物シリーズ

名前IEEE Region 10 Annual International Conference, Proceedings/TENCON

Conference

Conference2006 IEEE Region 10 Conference, TENCON 2006
国/地域China
CityHong Kong
Period06/11/1406/11/17

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • 電子工学および電気工学

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