Game Theoretic Model for P2P Trust Management

P2P networks provide a highly reliable way of sharing resources. But the peers have to manage the risk involved due to lack of knowledge about each other's trustworthiness. For the peers to behave honestly trust needs to be incorporated. Peers could provide different types of services. The trust framework should enable assessing the peers based on the services provided by them. This paper discusses 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. Game Tree strategy, Tit for Tat strategy, Self Trust strategy, Dynamic strategy and Auditing strategy, Redundant Job Submission strategy is proposed for selecting peers for doing job and for result evaluation respectively.

[1]  Jonathan Katz,et al.  A Game-Theoretic Framework for Analyzing Trust-Inference Protocols , 2004 .

[2]  S. J. Kiartzis,et al.  Short term load forecasting using fuzzy neural networks , 1995 .

[3]  Saifur Rahman,et al.  Short-term load forecasting with local ANN predictors , 1999 .

[4]  Suresh Jagannathan,et al.  Unstructured peer-to-peer networks for sharing processor cycles , 2006, Parallel Comput..

[5]  Paul Resnick,et al.  Reputation Systems: Facilitating Trust in Internet Interactions , 2000 .

[6]  Divyakant Agrawal,et al.  A game theoretic framework for incentives in P2P systems , 2003, Proceedings Third International Conference on Peer-to-Peer Computing (P2P2003).

[7]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[8]  Ling Liu,et al.  PeerTrust: supporting reputation-based trust for peer-to-peer electronic communities , 2004, IEEE Transactions on Knowledge and Data Engineering.

[9]  Saifur Rahman,et al.  A generalized knowledge-based short-term load-forecasting technique , 1993 .

[10]  Moon-Hee Park,et al.  Short-term Load Forecasting Using Artificial Neural Network , 1992 .

[11]  Daniel W. Manchala.  E-Commerce Trust Metrics and Models , 2000, IEEE Internet Comput..

[12]  Paul Resnick,et al.  Reputation systems , 2000, CACM.

[13]  Ling Liu,et al.  Building Trust in Decentralized Peer-to-Peer Electronic Communities , 2002 .

[14]  Bruce W. Schmeiser,et al.  Improving model accuracy using optimal linear combinations of trained neural networks , 1995, IEEE Trans. Neural Networks.

[15]  S. Vemuri,et al.  Neural network based short term load forecasting , 1993 .

[16]  Shangyou Hao,et al.  An implementation of a neural network based load forecasting model for the EMS , 1994 .

[17]  Magdi S. Mahmoud,et al.  Cascaded artificial neural networks for short-term load forecasting , 1997 .

[18]  J. Theocharis,et al.  A novel approach to short-term load forecasting using fuzzy neural networks , 1998 .

[19]  Saifur Rahman,et al.  Input variable selection for ANN-based short-term load forecasting , 1998 .

[20]  M. M. Elkateb,et al.  Hybrid adaptive techniques for electric-load forecast using ANN and ARIMA , 2000 .