A Review on Botnet and Detection Technique

  IJCOT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© - Issue 2013 by IJCTT Journal
Volume-4 Issue-1                           
Year of Publication : 2013
Authors :Jignesh Vania, Arvind Meniya, H. B. Jethva

MLA

Jignesh Vania, Arvind Meniya, H. B. Jethva."A Review on Botnet and Detection Technique"International Journal of Computer Trends and Technology (IJCTT),V4(1):23-29 Issue 2013 .ISSN 2231-2803.www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract: -The defining characteristic of botnets is the use of command and control channels through which they can be updated and directed. Recently malicious botnets evolve into HTTP botnets out of typical IRC botnets. Data mining algorithms allow us to automate detecting characteristics from large amount of data, which the conventional heuristics and signature based methods could not apply.

References-

[1] Chung-Huang Yang , Kuang-Li Ting. Fast Deployment of Botnet Detection with Traffic Monitoring, Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, pages 856-860, 2009.
[2] Haritha S. Nair, Vinodh Ewards S E A Study on Botnet Detection Techniques, International Journal of Scientific and Research Publications, Volume 2, Issue 4, April 2012
[3] Botnet scams are exploding, 2008 http://usatoday30.usatoday.com/tech/news/computersecurity/2008-03- 16-computer-botnets_n.htm.
[4] Nicholas Ianelli, Aaron Hackworth. Botnets as a Vehicle for Online Crime - CERT and CERT Coordination Center are registeredin the U.S. Patent and Trademark Office. 2005
[5] Oregon Man Cops Plea in eBay DDOS Attack, http://www.internetnews.com/security/article.php/3574101
[6] Worm strikes down Windows 2000 systems,http://www.cnn.com/2005/TECH/internet/08/16/computer.wo rm/index.html
[7] Kraken botnet, Wikipedia, http://en.wikipedia.orglwikilKraken_botnet, 2008

Keywords— Botnet, botnet detection, HTTP Botnet, Data Mining.