O-means: An Optimized Clustering Method for Analyzing Spam Based Attacks-Reference-Cited by-同舟云学术

O-means: An Optimized Clustering Method for Analyzing Spam Based Attacks

Published:2011 Issue:1 Volume:E94-A Page:245-254
ISSN:0916-8508
Container-title:IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
language:en
Short-container-title:IEICE Trans. Fundamentals

Author:

SONG Jungsuk¹,INOUE Daisuke¹,ETO Masashi¹,KIM Hyung Chan¹,NAKAO Koji¹

Affiliation:

1. National Institute of Information and Communications Technology

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing

Link

http://www.jstage.jst.go.jp/article/transfun/E94.A/1/E94.A_1_245/_pdf

Reference17 articles.

1. Spamming botnets

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3. [3] D.S. Anderson, C. Fleizach, S. Savage, and G.M. Voelker, “Spamscatter: Characterizing Internet Scam Hosting Infrastructure,” Proc. USENIX Security Symposium, Boston, 2007.

4. [4] R. Jennings, “The global economic impact of spam, 2005 report,” Technical Report, Ferris Research, 2005.

5. [5] Y. Kawakoya, M. Akiyama, K. Aoki, M. Itoh, and H. Takakura, “Investigation of spam mail driven web-based passive attack,” IEICE Technical Report, ICSS2009-5, May 2009.

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