An Intelligent Technique for Implementing a New Platform for Merging Some of Protocols Package Using P2P Delayed Networks

Recently, exploring effective ways for distributed resources that allow sharing large amounts of data among users are presenting new challenges to computer networks. The Peer-to-Peer (P2P) networks have emerged over the past several years as new and effective ways for distributed resources to communicate and cooperate security and privacy in a number of ways. This paper focused on a new platform for merging some of Protocols package for P2P networks based on an inelegant technique. The Merging Protocol based on Fuzzy Decision for Trust Evaluation raised by P2P networks have been introduced to help in studying some protocols to support efficiently of the transferred encrypted data. The efficiency of these protocols such as used in routing information raised the need to merge some of them to gain both the high speed and security of the significant valuable transmitted data. In order to reach this goal, we have utilized a dynamical model of trusted P2P transactions with Fuzzy reputation aggregation with delays transmission which is considered as an intelligent learning machine based on Fuzzy Logic technique in the design process of merging protocol of P2P network. To support the usefulness of this technique, a discrete model that showed an improvement of a distinctive protocol that combines more than one protocol in one side to achieve common standard behaviors has been constructed which have led to improve in the efficiency of exchange of data across P2P networks. Index Terms — Merging protocols, P2P delayed networks, time delays factors, NS-2 simulation