Collaborative behavior visualization and its detection by observing darknet traffic

Satoru Akimoto, Yoshiaki Hori, Kouichi Sakurai

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

3 被引用数 (Scopus)

抄録

Recently, we have a problem about an attack generated by a botnet which consists of a group of compromised computers called bots. An attacker called botmaster controls it and a botnet invokes an attack such as scanning and DDoS attack. In this paper, we use the 3D-visualization to investigate the change of attack according to the darknet traffic. As a result, we discover the attack in which several source IP addresses transmit packets to a single destination within a short period of time. In addition, we find that the packet size and the destination port number are identical on its attack. Furthermore, we propose the method to detect this attack called behavior of collaborative attack. In our proposal, we focus on the number of source IP addresses which transmit packets to the single destination. We detected this packet and the rate of packet with the same packet size and destination port number occupied about 90% of the set unit of extracted packet.

本文言語英語
ホスト出版物のタイトルCyberspace Safety and Security - 4th International Symposium, CSS 2012, Proceedings
ページ212-226
ページ数15
DOI
出版ステータス出版済み - 12 26 2012
イベント4th International Symposium on Cyberspace Safety and Security, CSS 2012 - Melbourne, VIC, オーストラリア
継続期間: 12 12 201212 13 2012

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)
7672 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

その他

その他4th International Symposium on Cyberspace Safety and Security, CSS 2012
Countryオーストラリア
CityMelbourne, VIC
Period12/12/1212/13/12

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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