Secure Access Control Algorithm for Wireless Sensor Network

It can improve the service quality of university library by matching the feature points of the users' information. For the efficient feature points matching of user information, it is necessary to give the threshold of different types of resources correlation degree, and to construct a new feature point matching feature expression of user information. In the traditional method, the matching two step projection matrix is formed by the constraint condition of the user information, but the construction of the characteristic expression is ignored, which leads to the low matching accuracy.This paper proposes a method to match the feature points of user information based on probability generation. In the fusion probability assignment generation theory to set up a user information probability generation model, the latent variables of unknown type defines the user information for the model, calculate the joint probability distribution, distribution of resources of each type of access to a posteriori estimates, given different types of resources associated with the measurement of the threshold, construct the matching feature expression, calculate the most the characteristics of short distance between adjacent types of user information, the user information matching feature points of University library. The simulation results show that the proposed method can improve the accuracy of the feature points matching, which can lay a solid foundation for improving the service quality of University library.