Optimum identification of worm-infected hosts

Noriaki Kamiyama*, Tatsuya Mori, Ryoichi Kawahara, Shigeaki Harada

*この研究の対応する著者

研究成果: Conference contribution

抄録

The authors have proposed a method of identifying superspreaders by flow sampling and a method of extracting worm-infected hosts from the identified superspreaders using a white list. However, the problem of how to optimally set parameters, φ, the measurement period length, m *, the identification threshold of the flow count m within φ, and H *, the identification probability for hosts with m∈=∈m *, remains unsolved. These three parameters seriously affect the worm-spreading property. In this paper, we propose a method of optimally designing these three parameters to satisfy the condition that the ratio of the number of active worm-infected hosts divided by the number of all the vulnerable hosts is bound by a given upper-limit during the time T required to develop a patch or an anti-worm vaccine.

本文言語English
ホスト出版物のタイトルIP Operations and Management - 8th IEEE International Workshop, IPOM 2008, Proceedings
ページ103-116
ページ数14
DOI
出版ステータスPublished - 2008 11月 28
外部発表はい
イベント8th IEEE International Workshop on IP Operations and Management, IPOM 2008 - Samos Island, Greece
継続期間: 2008 9月 222008 9月 26

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
5275 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Conference

Conference8th IEEE International Workshop on IP Operations and Management, IPOM 2008
国/地域Greece
CitySamos Island
Period08/9/2208/9/26

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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