A passive monitoring model for P2P network based on 2D Bloom Filter data verification algorithm

P2P network monitoring acquires network information, analyzes the network topology characteristics and variation regularity to control the network mainly by actively or passively monitoring method. The passive monitoring model for P2P specific information was proposed in this paper, which applied the data verification technology to acquire the audience information in real time, improved the data verification algorithm, and discussed the improved algorithm performance. As the test result indicates, this improved algorithm has the advantages of high efficiency performance, less memory requirement, and low misjudgment rate, which meet the requirement of passive monitoring model to data verification algorithm.