Researches On Secure Data Aggregation To Protect Data Privacy And Integrity

WSN(Wireless Sensor Network) is widely used and of great influence to today’s society. In recent years, with the continuous progress of science and technology, the application of WSN has gradually been expanded to nearly all areas of human life, such as home life, financial business, aerospace industry and marine monitoring. WSN is composed of a large number of tiny sensor nodes, which are deployed in corresponding monitored areas in order to collect users’ useful information. Since the sensor nodes are small processors with simple structures and limited resources, these nodes use data fusion techniques to transfer information in practical applications. With the increasing demand for information security, information safety has caught people’s attention in the data fusion process of WSN. For example, some areas, such as medical fields, financial industries and military fields, have serious requirements of information safety in collection and transmission processes of information. Since resources of sensor nodes are limited, the nodes are more vulnerable to be attacked or captured by the illegal, which can cause the disclosure of sensitive information and lead to serious damage. Therefore, this research on information safety issues in data fusion process of WSN is of significance.To solve the security problem in data fusion process of WSN, a lot of researches have been done around the world. Firstly, this research classified domestic and foreign issues related to security data fusion and gave relevant analysis of them. Then an improved WSN data fusion algorithm was proposed. The main contents of this paper include the three aspects.1. This paper focused on the privacy and integrity of WSN’s data fusion process. These two security requirements of data were the most important aspects in security data fusion of WSN. This paper used cluster-type fusion trees, and a cluster fragmentation method was used to protect data privacy. Meanwhile a homomorphic message authentication code was used to ensure data integrity in this research.2. This research proposed an improved data fusion algorithm(ILCCPDA) in WSN, which made improvements on the basic of the cluster-based data integration of privacy protection algorithms(CPDA). ILCCPDA used LEACH clustering protocol to form clusters and used a simple slice mixing operation within the cluster to reduce the data transmission, thus reducing energy consumption. The homomorphic message authentication code was added to the algorithm to test data integrity. Meanwhile, the random key distribution mechanism was used to encrypt data collected by nodes in the algorithm. It ensured the privacy and integrity of information during the data transmission process of WSN, reducing the energy consumption of the network.3. Algorithm analysis, this research compared analysis with other algorithms from three aspects, including data privacy, integrity and energy consumption during data communication. This research concluded that this algorithm can protect privacy, keep integrity of the data and reduce energy consumption.