DocumentCode :
3107586
Title :
Statistical Analysis of Trust Overlay Network
Author :
Zhu, Zhong ; Wu, Guoxin
Author_Institution :
Key Lab. of Comput. Network & Inf. Integration Minist. of Educ., Southeast Univ., Nanjing, China
fYear :
2009
fDate :
13-14 Dec. 2009
Firstpage :
592
Lastpage :
595
Abstract :
A TON (trust overlay network) is a virtual network on top of the underlying distributed application network, which is a directed and weighted complex network. A detailed understanding of the structural properties of TON topology will benefit the accurate grasp of the trust formation mechanism and management model and the effect on underlying distributed application network, in order to make better use of trust relationships (also called "soft security") to solve security issues of large-scale distributed application system. Based on P2P service network model with the property of small world, two algorithms for generating TON were proposed, which was implemented on the Repast simulation system. The simulation results and analysis suggest the TON fits power-law distribution ( ¿ ¿ (1,4)) in in-degree, outdegree, global trust value and local trust value, which shows a TON has a scale-free networks characteristics.
Keywords :
directed graphs; peer-to-peer computing; security of data; statistical analysis; P2P service network; large-scale distributed application system; power-law distribution; scale-free networks characteristics; soft security; statistical analysis; trust overlay network; virtual network; Analytical models; Application software; Computer network management; Conference management; Distributed computing; Information technology; Network topology; Peer to peer computing; Power system security; Statistical analysis; distributed application network; power-law distribution; scale-free network; small world network; trust overlay network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Future Information Technology and Management Engineering, 2009. FITME '09. Second International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-5339-9
Type :
conf
DOI :
10.1109/FITME.2009.152
Filename :
5381058
Link To Document :
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