Research On Security Protection Strategy Based On WSN Data Fusion

With the development of WSN technology,the data privacy problem has gradually become the primary issue that restricts the development of the network.Therefore,how to prevent data leakage and illegal operation is an important part of WSN research.On the basis of the study of WSN and data fusion technology,the dissertation deeply discusses the security of data.In view of the data security problem collected in the monitoring area,the security protection strategy is designed from two aspects,and the theoretical and experimental analysis is carried out.The main contents are as follows:(1)For the issue of privacy protection,data privacy protection strategies are proposed.This strategy uses the gradient values of the adjacency matrix and local functions to design a distributed gradient optimization formula method to obtain the global optimal solution to the objective function,that is,the goal of privacy preserving.It is very important to select the relevant parameters in the formula.For example,the random factor is adjusted dynamically based on the difference between the previous collected data and the current gradient.The attacker cannot know the relevant process of the optimal solution and cannot obtain an effective result,to achieve privacy protection.At the same time,in order to reduce the energy consumption of the nodes in the network and reduce the amount of useless information transmission,an optimal binary tree model is used for data fusion in the encryption results,which increases the monitoring period of the network.(2)For the difficulties of privacy disclosure and incomplete information in WSN data fusion,the dissertation designs a data fusion privacy protection integrity algorithm.The algorithm uses the optimal value obtained by the distributed gradient key management strategy as a private key node.The private key is used to construct the password pair.The collected data is signed and encrypted using the password to ensure the integrity and privacy of the data.In order to reduce the communication overhead,the Bayesian directed acyclic graph model is used to integrate the signature results.The fusion result is transmitted to the base station.The base station uses the clear and private passwords to detect the integrity of the data.If the message is tampered or forged during transmission,the base station can detect and process the data in time,ensuring the integrity of the data in the data fusion.(3)Using MATLAB simulation platform,to compare this strategy with existing UGC,SMART,and PDI algorithms,and analyze the privacy protection,convergence,integrity,communication overhead,and big data detection,so as to conclude that based on WSN The data fusion security protection strategy has certain advantages.