Game theory as a tool to strategize as well as predict nodes' behavior in peer-to-peer networks

In this paper we use game theory to study nodes' behavior in peer-to-peer networks when nodes receive service based on their reputation. Reputation is used as a mechanism to incentivize nodes to share resources and provide services to others. The probability of a node obtaining service is directly proportional to its current reputation, and the only way to enhance reputation is by serving others. Thus, the problem of free-riding is minimized. Game theory can be used by individual selfish nodes to determine their optimal strategy for participation level in such a system. Moreover, game theory gives us interesting insight into the overall nature of nodes' interactions and system efficiency, and how system efficiency can be improved.