Abstract
<p class="0abstract"><span lang="EN-US">To improve the data aggregation privacy protection scheme in wireless sensor network (WSN), a new scheme is put forward based on the privacy protection of polynomial regression and the privacy protection method based on the homomorphic encryption. The polynomial data aggregation (PRDA+) protocol is also proposed. In this scheme, the node and the base station will pre-deploy a secret key, and the random number generator encrypts the random number for the seed through the private key, which protects the privacy of the data. Then, by comparing the decrypted aggregate data through the correlation between the two metadata, the integrity protection of the data is realized. A weighted average aggregation scheme that can be verified is proposed. In view of the different importance of user information, the corresponding weights are set for each sensor node. EL Gamal digital signature is used to authenticate sensor nodes. The results show that the signature verification algorithm enables the scheme to resist data tampering and data denial, and to trace the source of erroneous data.</span></p>
Highlights
With the advent of the big data era, data acquisition, collection, collation, analysis and mining become more and more important
In order to improve the efficiency of sensor nodes and extend the life cycle of wireless sensor network (WSN), data aggregation technology arises at the historic moment
The PRDA+ protocol is proposed, which realizes the privacy protection of data, reduces the communication overhead, and realizes integrity verification. It belongs to the data aggregation privacy protection technology based on polynomial regression
Summary
With the advent of the big data era, data acquisition, collection, collation, analysis and mining become more and more important. The research on WSNs is mainly focused on routing algorithms, energy management, and node location, but the research on data aggregation technology in WSNs is not much. Data aggregation technology arises at the historic moment and becomes a key data processing technology in WSNs. In order to improve the efficiency of sensor nodes and extend the life cycle of WSNs, data aggregation technology arises at the historic moment. The core idea of data aggregation technology is to process the original data of the different user nodes in WSN and reduce the data transmission without affecting the result. According to the different practical application environment, it is necessary to take the amount of communication, computing overhead and privacy protection into consideration when choosing the privacy protection scheme, so as to choose the most suitable scheme
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