DocumentCode
3216797
Title
GaTMo: Game theoretic trust model for peer to peer networks
Author
Siddarrthraman, R. ; Sundaresan, Vignesh Laligam ; GaneshKumar, M.
Author_Institution
Sri Venkateswara Coll. of Eng., Sriperumbudur, India
fYear
2009
fDate
9-11 Dec. 2009
Firstpage
1544
Lastpage
1547
Abstract
Peer to Peer networks can be seen as truly distributed computing applications in which peers communicate directly with one another to exchange information, distribute tasks, or execute transactions. The issues with peer to peer network are that the resource is not centralized. Moreover, peers may not know about the trustworthiness of other, so the trust framework should be designed in such a way that the peers reputation can be identified based on the services provided by them. This paper discusses the design of GaTMo a trust framework for evaluating the trust of peers in a network. The trust framework incorporates self experience and reputation to calculate trustworthiness of a peer. Various like Game theoretic strategies are used for selecting peers for doing the peer selection process. The experimental results prove that the GaTMo works effectively for different strategies thereby increasing the payoff of each peer which indirectly increases the life time of the peer to peer network.
Keywords
computer network performance evaluation; game theory; peer-to-peer computing; security of data; GaTMo; distributed computing; game theoretic strategies; peer selection process; peer to peer networks; trust framework; Distributed computing; Economic forecasting; Educational institutions; Game theory; Mathematical analysis; Mathematics; Peer to peer computing; Power generation economics; Set theory; Sociology; Game theory; Peer to Peer network; Trust framework;
fLanguage
English
Publisher
ieee
Conference_Titel
Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on
Conference_Location
Coimbatore
Print_ISBN
978-1-4244-5053-4
Type
conf
DOI
10.1109/NABIC.2009.5393672
Filename
5393672
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