DocumentCode :
3307481
Title :
Research of an Innovative P2P-Based Botnet
Author :
Jian, Gao ; Yang, Yixian ; Zheng, Kangfeng ; Hu, Zhengming
Author_Institution :
State Key Lab. of Networking & Switching Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear :
2010
fDate :
24-25 April 2010
Firstpage :
214
Lastpage :
218
Abstract :
The research recently focuses on the integration of peer-to-peer frame as incremental improvements to botnet. In hybrid P2P botnet, it is important to find a mechanism to select neighbor list for every super node, in order to improve stability of communication when some super nodes lose. At the same time, it needs to select high performance and nearest node as a super node, to provide command request and file transport for other ordinary nodes. In this paper, we propose a neighbor list selecting method based on Strongly Connected Graph and analysis a super node selecting mechanism based on AHP. Evaluation shows that this mechanism can increase coverage probability of commands and decrease average connection time (ACT) between super node and ordinary node.
Keywords :
Authentication; Command and control systems; Information analysis; Information security; Laboratories; Machine vision; Man machine systems; Peer to peer computing; Protocols; Telecommunication switching; P2P; botnet; ordinary node; super node;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Vision and Human-Machine Interface (MVHI), 2010 International Conference on
Conference_Location :
Kaifeng, China
Print_ISBN :
978-1-4244-6595-8
Electronic_ISBN :
978-1-4244-6596-5
Type :
conf
DOI :
10.1109/MVHI.2010.135
Filename :
5532718
Link To Document :
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