Research On Wireless Sensor Network Security Data Aggregation

In recent years,the technology and application of wireless sensor network have been developing rapidly,but their data security problems have many potential risks.Because the data collected by wireless sensor network involves a large amount of private data.The research of data privacy protection technology is very important.Aiming at the hot issues of the current security data fusion,this paper improves on the defects of the traditional security data aggregation technology,and proposes two methods to improve the security of data aggregation.In order to overcome the shortcomings of current homomorphic encryption privacy protection technology such as large communication load and low network robustness,this paper improves the original algorithm,Encrypted clustering data privacy protection technology,a new network model is proposed to cluster the network-aware nodes.This algorithm makes up for the shortcomings of the original algorithm.The SMART(Slice-Mix-AggReGaTe)algorithm based on data segmentation is studied and analyzed.It is found that the proposed algorithm has high communication load,low aggregation accuracy and high energy consumption.This paper improves the original algorithm and proposes a SMART algorithm based on the size of data acquisition According to the amount of data collected by the sensing node,the data is segmented to make up for the shortcomings of the original algorithm.Compared with the original algorithm and the two improved algorithms proposed in this paper,the simulation experiments and analysis show that the clustered data privacy protection based on ECC homomorphic encryption effectively improves the network robustness and reduces the network Communication load;SMART algorithm based on the size of data reception reduces the communication load compared with the original algorithm,and improves the aggregation accuracy.