Data Aggregation Method with Validity Verification Function in Internet of Things Environment

Abstract

The invention discloses a data aggregation method with a validity verification function under the Internet of Things environment, and relates to the technical field of data aggregation under the Internet of Things environment. The correctness and accuracy of the data ensures that the aggregation results received by the medical data center are valid, thereby avoiding large data errors due to illegal data transmission, which is not conducive to data analysis and statistics. At the same time, the present invention is implemented at the medical data center The segmentation statistics of the data are realized, and the statistics of different attributes of each type of data are realized. The security proof shows that this scheme guarantees the confidentiality and privacy of data based on the difficult problem of discrete logarithm, and can also resist collusion attacks, thereby ensuring the security of user data. The performance analysis shows that, compared with the existing solutions, the present invention obviously reduces the calculation cost and saves the transmission bandwidth while ensuring the correct data transmission.

Description

technical field [0001] The present invention relates to the technical field of data aggregation under the Internet of Things environment, and more specifically, the present invention is a data aggregation method with a validity verification function under the Internet of Things environment. Background technique [0002] With the wide application of wireless sensors, wireless body area network (WBAN) is also widely used in the medical field. It is a combination of small wearable devices known as medical sensors attached to a patient's body in a remote health monitoring system [1]. It can perceive certain health data of the human body, such as heart rate, blood pressure and electrocardiography (ECG), etc. In this way, the user's health data can be sent to SocialSpot (SP) through sensors, and then uploaded to the Medical Data Center (MDC). Medical centers can do some analysis based on these data values. [0003] However, there are some data privacy and security issues in thi...

AI Technical Summary

Problems solved by technology

[0004] In 2015, R Lu et al first proposed to divide range aggregation in the document "Anovel privacy-preserving set aggregation scheme for smart grid communications", but only two ranges of aggregation can be achieved, and the corresponding sum in each range can be obtained and the number of users, but it cannot achieve multi-range aggregation

However, the data calculation overhead of this scheme is too large, and the validity of user data is not considered, and it is mainly used for the aggregation of meter data on the smart grid. In the existing medical scheme, multi-range aggregation has not been considered.

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