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