P2P網(wǎng)絡(luò)中信任管理研究
[Abstract]:The emergence of P2P network (peer-to-peer) effectively solves the problems of single point failure, performance bottleneck and so on of traditional network mode. It connects people more directly through the network, and people can exchange information and resources conveniently through peer-to-peer network. You can store your own relevant data instead of concentrating on a few central servers. Peer-to-Peer Network (peer-to-peer) has the characteristics of openness, scalability, anonymity and so on, which makes P2P network already working in collaboration, large-scale parallel computing, file sharing, distributed computing, remote cooperation, search engine, instant messaging, etc. Mobile devices and other fields have been widely used. However, these characteristics make the trust and security of peer-to-peer network not guaranteed, there are many malicious nodes, and because of the lack of or lack of perfect incentive mechanism, 1/4 of the nodes are free-rider nodes. They only enjoy the services provided by other nodes and never provide services to other nodes. These are threats to the security and development of P2P networks. The establishment of trust management model in P2P network can effectively solve the trust and security problems in the system, and can solve the recommendation problem in the system. Trust management model is mainly divided into reputation based trust management model, based on recommended trust management model and trust management model based on PKI, the trust model based on PKI is a trusted node authenticated by CA. This makes the scalability of the system poor and the problem of single point failure, so the trust model based on reputation and recommendation is a hot research topic at present. This thesis mainly focuses on the trust management and incentive mechanism in P2P network. The main results are as follows: (1) the trust mechanism based on different angles has been proposed by domestic and foreign scholars. In this paper, the concept of single praise degree is proposed. Based on the subjectivity of trust, the method of fuzzy comprehensive evaluation is proposed to calculate the single high praise degree. (2) A new trust management model based on resource evaluation is proposed from the point of view of resource evaluation. The transaction record table after each transaction is managed and stored by the parent node of the node providing the resource; the requesting node not only considers the direct trust degree of the target node and the total praise of the transaction resource, And also consider the risk value to select the target node. The calculation method of resource evaluation can effectively suppress the malicious behavior of malicious nodes. (3) aiming at the phenomenon of free rider, unreliable service and untrue feedback, A dynamic incentive mechanism based on trust management is proposed. The related concepts such as upload factor, download factor and so on are put forward first, then a series of rules including rewards and punishments are put forward. Finally, the game theory is used to prove that nodes are more inclined to obey the rules and upload resources. Simulation results show that the proposed incentive mechanism can promote the nodes to upload resources properly and effectively prevent malicious behavior.
【學(xué)位授予單位】:北京郵電大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2013
【分類號】:TP393.08
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