一种改进蚁群算法的p2p网络信任模型分析-analysis of p2p network trust model based on improved ant colony algorithm.docxVIP

PAGE PAGE IV Abstract P2P (Peer-to-Peer) network technology has been widely applied in the network file sharing, distributed computing, e-commerce, etc., which has become a hot research topic in the field of computer networks. However, due to the openness, anonymous, randomness, and network nodes dynamic characteristics of the P2P network, it also brings a series of problems such as covert communication, privacy protection, node collusion and fraud, etc. It is of great significance for the further development of P2P technology to introduce the confidence-building mechanism in the P2P network, to built the trust model, to establish a trust relationship between peer nodes, and to build a trusted network interactions environment. This thesis studies and analyzes the most representative P2P network trust models at home and abroad systematically, elaborates the characteristics of these models and points out their ascendancies and weaknesses. The current studies of P2P network trust model ignore the network dynamics and the calculation trust is not accurate. Because of ant colony algorithm having the characteristics of adapting to the dynamic network environment and strong optimization abilities, this thesis proposes a new P2P trust model: trust model for P2P networks based on the improved ant colony algorithm (TMACA). The main work of this thesis as follows: This thesis summarizes and analyzes the most representative eight P2P network trust models, and points out the advantages and weaknesses of existing models. This thesis proposes an improved ant colony algorithm, which improved in three points: changing the methods of the local and global pheromone updating, redefining the measure for the quality of the path that the ants found. Ants looking for the most trusted server node in the network, they are guided by the pheromone traces which left by other ants going through the path. Therefore, the more access of the ants go through the path, the more obvious pheromone wi