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)


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.

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


名前IEEE Region 10 Annual International Conference, Proceedings/TENCON


Conference2006 IEEE Region 10 Conference, TENCON 2006
CityHong Kong

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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