Data clustering method for enhancing data privacy in Internet of Things medical system

An IoT medical and data-enhancing technology, applied in the fields of medical data mining, patient-specific data, digital data protection, etc., can solve the problem that k-means clustering scheme cannot protect user privacy by clustering center, and cannot resist collusion attack time. complexity, etc.

Active Publication Date: 2020-11-17
FUJIAN NORMAL UNIV
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  • Abstract
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AI Technical Summary

Problems solved by technology

[0005] Existing privacy-preserving k-means clustering schemes cannot protect the privacy of users while preserving the privacy of cluster centers
Moreover, most methods are not resistant to collusion attacks or have high time complexity

Method used

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  • Data clustering method for enhancing data privacy in Internet of Things medical system
  • Data clustering method for enhancing data privacy in Internet of Things medical system
  • Data clustering method for enhancing data privacy in Internet of Things medical system

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Embodiment Construction

[0064] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. The most critical idea of ​​the present invention is that in the IoT medical system, a third-party cloud platform and homomorphic encryption are comprehensively introduced to realize clustering that protects user data privacy.

[0065] Such as figure 1 or figure 2 As shown, the present invention discloses a data clustering method for enhancing data privacy in the Internet of Things medical system, and the defined network model is as follows: In the Internet of Things medical system model, each user a i will maintain a set of data about their own health a i (such as: blood pressure, heart rate, etc.), to understand their own health status; the data analysis...

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Abstract

The invention discloses a data clustering method for enhancing data privacy in an Internet of Things medical system. The method comprises the following steps: S1: a user initializes and processes ownhealth data, and a data analysis end receives processed data submitted by all users; S2, the data analysis end calculates and compares the Euclidean distance between the health data from different users and the initialized clustering center, and allocates each user to the nearest cluster; and S3, the data analysis end calculates and counts private data of the users in the same cluster through thethird-party cloud platform so as to determine a new clustering center. In the Internet of Things medical system, a third-party cloud platform is comprehensively introduced, homomorphic encryption is carried out, and clustering for protecting user data privacy is realized.

Description

technical field [0001] The invention relates to the field of medical data clustering of the Internet of Things, in particular to a data clustering method for enhancing data privacy in a medical system of the Internet of Things. Background technique [0002] With the rapid development of information technology, the Internet of Things (IoT), as a representative technology, connects any object to the network through specific sensors, and then realizes intelligent identification, intelligent positioning and intelligent monitoring through information exchange. Advances in the Internet of Things have driven the diversification of smart applications, such as smart cities, modern medical systems, and smart grids. Especially for healthcare systems, there are more and more agencies using IoT to design healthcare systems because IoT technology can efficiently integrate infrastructure resources and provide information to users of healthcare systems. In addition, managers of healthcare ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H10/60G16H50/70G06F21/62G16Y20/40G16Y40/50G06K9/62
CPCG16H10/60G16H50/70G06F21/6245G16Y20/40G16Y40/50G06F18/23
Inventor 林晖刘文新汪晓丁妙秦阳
Owner FUJIAN NORMAL UNIV
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