Information Technology Reference
In-Depth Information
affecting subsequent transactions. Communicating nodes also promote each
other's transaction reputations if the transaction between them is successful;
this serves as an incentive and encourages everyone in the P2P network to
be honest and benefit from the whole P2P community. This fundamental
concept of our model would serve the P2P file-sharing system well. In the
course of our study the following conclusions were drawn.
•
Our model can locate the resource chain with malicious nodes after
each transaction and weaken the whole chain to prevent it from
affecting subsequent transactions.
Communicating nodes also promote each other's transaction reputa-
•
tion if the transaction between them is successful.
Therefore, our model can be applied to a P2P file-sharing system to enhance
the security and ensure automatic self-adjustment. On account of our model's
automatic information collection capability and reputation updating capabil-
ity in different system environments, it can be applied to P2P communities to
enhance their trustworthiness.
References
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Conference on Information and Knowledge Management, Atlanta, Georgia.
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Technical report from the Department of Computer Sciences, University of
Texas at Austin.
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Paper presented at the Proceedings of the 9th ACM Conference on Computer
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