| With the widespread use of the Internet of Things(IoT)in various fields,it has aroused the public attention about the security issue of information and data.As a key role in IoT,Wireless Sensor Network has widely attracted researcher's attention for its security issues when data stored in some sensors and data transferred in the whole network.Range query was a data query method which is important and widely used in Wireless Sensor Networks,some security problems need to be solved urgently.Based on the research and analysis of the existing range query research literature,our paper studied the data integrity verification in the Two-Tiered Wireless Sensor Network range query.Combined with the Merkle Tree structure,our study did a research which focus on data integrity verification method with an improved Merkle Tree structure.Firstly,based on the structure of Merkle Tree,a new data structure T2 M is proposed to make it impossible for the attacked node to send false data by tampering with the bucket label.Second,the improved bucket-based scheme was used,and the User-defined bucket step size is used to improve the classic bucket technology scheme.At the same time,the size of the control tree structure can shorten the verification path.There are few solutions to solve the integrity verification of multi-dimensional data in range query.Based on partial materialization digest scheme and the improved Merkle Tree structure this paper was implements the integrity verification of multidimensional data in range query.Firstly,the Merkle subtree is constructed separately for the different dimensional data collected by the sensor nodes and the root node of the subtree is signed by HMAC;secondly,based on the root nodes of the different subtrees,the upper dimensional tree is constructed.The root node signature of the whole tree;Finally,the data integrity verification is performed by using the different dimension data subtree and the root node signature of the whole tree. |
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