复合信誉模型在防P2P文件污染中的应用研究

文件污染是当前P2P文件共享系统普遍存在的问题,极大的降低了系统的可用性。提出基于用户评价的复合信誉模型,通过用户对下载的资源进行评价,逐步建立起对象信誉;同时,在建立对象信誉的同时根据节点行为建立节点信誉。在下载过程中拒绝让信誉过低的节点下载资源,从而保证对象信誉建立的准确性,因此也就阻止恶意节点实施恶意行为的可能性。对象信誉和节点信誉相互结合和相互影响的复合信誉模型,可以更有效地预防P2P文件共享系统的文件污染问题。

Fighting Peer-to-Peer File Pollution with Compound Reputation Model

The problem of file pollution is prevalent in P2P file sharing system nowadays. The pollution reduces the availability of system sharply. So the compound reputation model based on user's ratings was proposed. Using the ratings which users voted for downloaded resource,the object's reputation is established. Meanwhile,nodes' reputations are established according to the nodes' behavior. The down-loading of the nodes whose reputation is too low is refused in order to keep the accuracy when establishing objects...