针对P2P文件共享系统中的文件污染问题,提出了一种新的基于节点声誉和目标声誉的混合抗污染机制。该机制由投票节点的声誉决定选定的目标文件的声誉。其中节点声誉引入了严厉的惩罚策略以及投票激励机制,不仅有效地孤立了污染者,而且刺激了用户对文件污染的警觉度,阻止污染的进一步扩散。仿真结果表明,与目标声誉系统相比,混合声誉机制收敛更快,具有更好的抗污染性能。 Aiming at the problem of document pollution in P2P file sharing system, a new hybrid anti-pollution mechanism based on node reputation and target reputation is proposed. This mechanism determines the reputation of the selected target file based on the reputation of the voting node. Among them, the reputation of node introduced severe punishment strategy and voting incentive mechanism, which not only effectively isolated polluters, but also aroused users’ awareness of document pollution and prevented the further spread of pollution. The simulation results show that the hybrid reputation mechanism converges faster and has better anti-pollution performance than the target reputation system.