DocumentCode :
3540872
Title :
Detecting HTTP Botnet with Clustering Network Traffic
Author :
Cai, Tao ; Zou, Futai
fYear :
2012
fDate :
21-23 Sept. 2012
Firstpage :
1
Lastpage :
7
Abstract :
Botnet is a great threat of the Internet nowadays. For now, Botnet has transformed to the complex one based on HTTP, P2P protocols from the simple Botnets which based on IRC protocol. In this paper, we evaluate the key features of HTTP Botnet and design a new method to detect the HTTP Botnet based on feature analysis. The experiment result shows that our method is effective and efficient on detecting HTTP Botnet.
Keywords :
Context; Educational institutions; Feature extraction; IP networks; Malware; Protocols; Servers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing (WiCOM), 2012 8th International Conference on
Conference_Location :
Shanghai, China
ISSN :
2161-9646
Print_ISBN :
978-1-61284-684-2
Type :
conf
DOI :
10.1109/WiCOM.2012.6478491
Filename :
6478491
Link To Document :
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