Abstract
Aiming at the privacy and security of data acquisition and monitoring in wireless sensor networks, an improved data fusion method, IICKPDA, is proposed for privacy protection in wireless sensor networks. The method is based on the ICKPDA algorithm, which optimizes the deadline between the same layer and the different layers，which can be randomly selected by the adjacent nodes of the data fragments to be transmitted, and also the non-leaf nodes which only the data is not collected to improve the characteristics of the data. The improved algorithm avoids the redundancy of the intermediate fusion process and protects the collected monitoring data, which improves the data fusion precision and the fusion efficiency of the intermediate fusion node. Theory and related experiments demonstrate the feasibility of the method.
Highlights
Nodes in wireless sensor networks [1]-[4] have the characteristics of computing power, storage, limited energy and low communication bandwidth, and it is difficult to transmit a large amount of sensor data
In [7] and [8], a data fusion privacy protection method based on homomorphic encryption is proposed, which is end-to-end encryption and cannot meet the security requirements within the network. [9] proposed the SMART algorithm, which is fragmented by its own data, and sent to the neighbors, the integration; but this way the energy consumption and accuracy is not high
In order to improve the data fusion accuracy and the fusion efficiency of intermediate fusion nodes, this paper presents a new data fusion method for privacy protection in wireless sensor networks
Summary
Nodes in wireless sensor networks [1]-[4] have the characteristics of computing power, storage, limited energy and low communication bandwidth, and it is difficult to transmit a large amount of sensor data. The wireless sensor network in the privacy protection, data integrity testing and other aspects of security there are some problems. The TAG[5] (Tiny AGgregation) algorithm proposed in is a typical data fusion technique used in wireless sensor networks In [15], the ICKPDA algorithm is proposed to ensure that internal privacy data is not stolen by external attacks using the key distribution mechanism in [6] It implements the data privacy protection of the internal nodes in the fragmentation technology before the data fusion, and realizes the integrity detection of the data by using the correlation between the binary data. In order to improve the data fusion accuracy and the fusion efficiency of intermediate fusion nodes, this paper presents a new data fusion method for privacy protection in wireless sensor networks. Carries on the theoretical modeling to it, introduces the security encryption method; The second section improves the algorithm to form the new algorithm; The third section uses the simulation experiment result to carry on the new algorithm Assessment and analysis; Section 4 summarizes this article
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