Privacy protection method during data aggregation of wireless sensor network

Abstract

The invention discloses a privacy protection method during data aggregation of a wireless sensor network. Privacy protection in a data addition aggregation process and a multiplication aggregation process is realized on the basis of an elliptical curve algorithm. The privacy protection method comprises the following steps of: determining, by a target node, an elliptical curve parameter and a private key k, calculating a public key K and broadcasting the elliptical curve parameter and the public key K; encrypting, by each source node, a plain text by an elliptical curve algorithm by using a random number, the elliptical curve parameter and the public key K and transmitting a cipher text message; performing, by a middle node, aggregation operation on the received cipher text message and transmitting an aggregation result to the target node; and decrypting, by the target node, the received aggregated cipher text data by using the private key k according to the elliptical curve algorithm to obtain aggregated plain text data. Compared with the prior art, an elliptical curve encryption technology adopted in the invention has the advantages of small public key digit, high calculation speed and the like, and two aggregation operation modes of addition aggregation and multiplication aggregation can be realized.

Description

technical field [0001] The invention belongs to the technical field of communication, and relates to a privacy protection method used for data aggregation of a wireless sensor network. Background technique [0002] The central task of wireless sensor networks is the collection, processing and management of sensing data. Data privacy is a key research direction in the privacy protection mechanism of wireless sensor networks. Data-oriented privacy security mainly includes data aggregation privacy and data query privacy. Data aggregation is an important technology in wireless sensor networks, including various aggregation calculations such as sum, average, maximum value and minimum value. [0003] After searching the existing technology, it is found that there are some data aggregation privacy protection methods for wireless sensor networks as follows: Westhoff D and Girao J et al. in the comparative document 1 "Concealed data aggregation for reverse multicast traffic in sensor...

AI Technical Summary

Problems solved by technology

[0004] The homomorphic encryption method used in comparison file 1 can realize end-to-end encryption, and each intermediate node can realize aggregation without decrypting the data, effectively protecting the private data of each node; the disadvantage is that the homomorphic encryption method is generally based on The public key cryptosystem has high computational complexity and consumes more resources

Compared with the CPDA method in document 2, the additional calculation amount introduced is large, which increases the calculation consumption; the SMART method introduces additional communication traffic

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