Research On The P2P Node Tracking Algorithm Based On Interference

In recent years, with the expanding range of applications of P2P technology, theattendant security issues more and more serious, but there currently lacks of effectivereal-time tracking technology to solve this problem or to suppress unwanted nodeinformation in a timely manner or is the spread of malicious behavior. So how canpromptly and effectively locate harmful node information must be addressed.For not effective in a timely manner to prevent the spread of the harmful nodeinformation and tracking methods for the dynamic nature of the P2P proposed a methodbased on interference the P2P node communication process to procure node to accelerateits other nodes in the P2P network links between, whereby to reveal the other nodes in thenetwork composition and the tracking. Discovery of nodes on its the blocking interferencealgorithm to explore the entire P2P network node, and even harmful traced to the sourcenode, so that you do not need to study and crack P2P protocols, and crack the clientsoftware that does not require any a priori knowledge of the nodes in a P2P network forreal-time blocking the connection, speed up the network connection. Interference taken bymeans of using blocking some connection P2P network to strengthen their self-helpbehavior. Mainly for several commonly used P2P software to do some interference nodealgorithm, and compared with experimental verification, the study draws someinterference strategy library and design a real-time rotation blocking strategy trackingmore online algorithm node.A lot of comparative experimental study of several P2P software, experiments showthat the appropriate blocking interference algorithm can be a short time to get more onlineresources of the P2P network node information, and this phenomenon can design ablocking strategy algorithm can achieve the expected number of targets based on the newnumber of connections to rotation and detailed introduction to the design of this algorithm,and experimental verification to prove the feasibility of the algorithm, this can be achievedtracking the effect of the other nodes in the network.