DocumentCode :
3171159
Title :
Modeling Small-World Trust Networks
Author :
Guo, Xianchen ; Li, Xinyou ; Qin, Yan ; Chen, Chen
Author_Institution :
Beijing Inst. of Technol., Beijing
fYear :
2008
fDate :
13-15 Oct. 2008
Firstpage :
154
Lastpage :
159
Abstract :
Constructing a trust network can provide a strong foundation for realizing security in ubiquitous environments. This approach is inspired by social networks, which have two typical characteristics: small-world and scale-free properties. Small-world properties consist of high clustering and short average path length. It often means that we can easily find a short path between any two agents in such networks, which is an expected property of trust networks. Another typical feather of social networks is scale-free link distribution. The most notable characteristic of scale-free networks is power law distribution, which means there are some nodes with a degree that greatly exceeds the average. Several models have been proposed to capture small-world and scale-free properties respectively, but each kind of models often lacks the property of the other kind of models. In this paper, based on the existing research results of small-world and scale-free models, we research how to model a trust network with both small-world and scale-free properties. Analyses demonstrate that the approach in this paper is efficient and effective.
Keywords :
security of data; ubiquitous computing; power law distribution; scale-free link distribution; small-world trust networks modeling; social networks; ubiquitous environment security; Computer networks; Computer security; Environmental management; Feathers; Information security; Multimedia computing; National security; Pervasive computing; Social network services; Systems engineering and theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ubiquitous Multimedia Computing, 2008. UMC '08. International Symposium on
Conference_Location :
Hobart, ACT
Print_ISBN :
978-0-7695-3427-5
Type :
conf
DOI :
10.1109/UMC.2008.38
Filename :
4656535
Link To Document :
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