Scheme of neighbor nodes selection for P2P network based on immunity-learning
基于免疫学习的对等网络邻居节点选择方案

File pollution is a common problem in P2P. A good neighbor nodes selection algorithm can contain file pollution effectively. This paper designed the scheme of vote similarity and neighbor nodes selection based on immunity. Also,used adaptive threshold to decide the credibility of file. Simulation results show that the algorithm can shield against malicious nodes with lower communication costs. So it has good value for application.