Simple and adaptive identification of superspreaders by flow sampling

Noriaki Kamiyama, Tatsuya Mori, Ryoichi Kawahara

研究成果: Conference contribution

30 被引用数 (Scopus)

抄録

Abusive traffic caused by worms is increasing severely in the Internet. In many cases, worm-infected hosts generate a huge number of flows of small size during a short time. To suppress the abusive traffic and prevent worms from spreading, identifying these "superspreaders" as soon as possible and coping with them, e.g., disconnecting them from the network, is important. This paper proposes a simple and adaptive method of identifying superspreaders by flow sampling. By satisfying the given memory size and the requirement for the processing time, the proposed method can adaptively optimize parameters according to changes in traffic patterns.

本文言語English
ホスト出版物のタイトルProceedings - IEEE INFOCOM 2007
ホスト出版物のサブタイトル26th IEEE International Conference on Computer Communications
ページ2481-2485
ページ数5
DOI
出版ステータスPublished - 2007
外部発表はい
イベントIEEE INFOCOM 2007: 26th IEEE International Conference on Computer Communications - Anchorage, AK, United States
継続期間: 2007 5 62007 5 12

出版物シリーズ

名前Proceedings - IEEE INFOCOM
ISSN(印刷版)0743-166X

Conference

ConferenceIEEE INFOCOM 2007: 26th IEEE International Conference on Computer Communications
国/地域United States
CityAnchorage, AK
Period07/5/607/5/12

ASJC Scopus subject areas

  • コンピュータ サイエンス(全般)
  • 電子工学および電気工学

フィンガープリント

「Simple and adaptive identification of superspreaders by flow sampling」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル