Enhancements and performance analysis of data sharing and malicious peer detection in P2P networks

Abstract

Network is defined as the connection of number of systems Peerto Peer P2P network is the integration of peers that shares the resources between each peers in the network based on centralized networking architecture In today s highly interconnected network scenario data availability and data sharing play a significant role in P2P networks The main issues in P2P network are losses in data sharing and security In the context of network management and traffic engineering Traffic Matrix in Peer Network TM PN was designed for traffic optimization which represents the data traffic in peers in P2P network Typically maintaining trade off among peer populations was the objective of Chunk Scheduling in Peer Network CS PN It is achieved through heterogeneity However the two methods TM PN and CS PN suffer from data sharing in peer networks The P2P systems are distributed systems without or with a minimal centralized control where each node is equivalent in terms of functionality The P2P refers to a class of systems and applications that employ distributed resource to perform critical functions such as resources localization in a decentralized manner In this research work an ELSIS mechanism with Advanced Beta Reputation Assessment is proposed to improve the throughput on information sharing in P2P networks By exploiting the special structure of the peer to peer network a Region Sensitive Information Hashing algorithm is proposed to minimize the neighbor search time Next with the introduction of Advanced Beta Reputation Assessment not only achieves security but also improves the trust level newline