Data security aggregation method with privacy protection function

Abstract

The invention relates to a data security aggregation method with a privacy protection function. The objective of the invention is to protect the privacy and confidentiality of data in an aggregation process. According to the data security aggregation method of the invention, an identity-based negotiation mechanism with authentication keys, a homomorphic encryption mechanism and an aggregation signature mechanism are adopted in a data aggregation process, and therefore, the privacy and the confidentiality in the data aggregation process can be protected, and impact on system operation efficiency can be decreased under the premise that system security can be guaranteed. The identity-based negotiation mechanism with the authentication keys, the homomorphic encryption mechanism and the aggregation signature mechanism are integrated in a sensor node, and the confidentiality, integrity and availability of end-to-end data in a high hybrid scene can be ensured without intra-network data processing efficiency reduced. The data security aggregation method with the privacy protection function of the invention has the advantages of invulnerability, scalability, dynamic property and validity.

Description

technical field [0001] The invention is a data aggregation and fusion algorithm for a large-scale wireless sensor network, which can protect the privacy of sensitive data. It belongs to the technical field of data security. Background technique [0002] In the Internet of Things, there is a contradiction between the diversification of the information representation of things and the lack of understanding of the information users of things. Therefore, the existing privacy protection methods cannot solve the privacy protection problem of the Internet of Things well. [0003] At present, most of the data aggregation algorithms of sensor networks adopt SKC-based security mechanisms. Such security mechanisms are difficult to solve the problems of secure distribution and update of keys, trusted data sources, and privacy protection. Take TinySec, a widely used link layer security mechanism based on the TinyOS operating system, as an example. This mechanism shares a unique symmetri...

AI Technical Summary

Problems solved by technology

[0002] In the Internet of Things, there is a contradiction between the diversification of the information representation of things and the lack of understanding of the information users of things. Therefore, the existing privacy protection methods cannot solve the privacy protection problem of the Internet of Things very well.

[0003] At present, most of the data aggregation algorithms in sensor networks adopt SKC-based security mechanisms. Such security mechanisms are difficult to solve the problems of secure key distribution and update, reliable data sources, and privacy protection.

Take TinySec, a widely used link layer security mechanism based on the TinyOS operating system, as an example. This mechanism shares a unique symmetric key in the entire network and does not support key update itself. Research shows that using such a key management mode TinySec supports up to 2 16 The secure transmission of a data packet is difficult to be practical in some long-term observation projects (Taking Duck Island as an example, TinySec can only guarantee about 45 days of secure transmission), and because the entire network shares the same key, it is easy to cause network security single point of collapse

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