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