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Lightweight privacy protection multi-dimensional data aggregation method based on edge computing

A privacy protection and multi-dimensional data technology, applied in transmission systems, electrical components, etc., can solve problems such as communication channel pressure, exposure of real-time usage of consumer data, and damage to user privacy

Inactive Publication Date: 2021-01-29
SOUTHWEST UNIVERSITY +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, directly delivering user usage data to the control center will cause the control center to have to process a large amount of fine-grained usage data in a short period of time, thus putting severe pressure on the communication channel
In addition, data directly reported by IoT devices will expose consumers' real-time data usage, thereby compromising user privacy

Method used

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  • Lightweight privacy protection multi-dimensional data aggregation method based on edge computing
  • Lightweight privacy protection multi-dimensional data aggregation method based on edge computing
  • Lightweight privacy protection multi-dimensional data aggregation method based on edge computing

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Embodiment Construction

[0092] Below in conjunction with accompanying drawing, the present invention is further described:

[0093] A light-weight privacy-protected multi-dimensional data aggregation method based on edge computing provided by the present invention is characterized in that: the system framework implemented by the method includes IoT devices, edge nodes, service center SC and key distribution center KDC , the data aggregation method specifically includes: system initialization, registration phase, usage data report generation phase, data aggregation, verification and decryption of aggregated data, data reading and analysis;

[0094] The system initialization includes signature scheme initialization and security data aggregation scheme initialization;

[0095] The initialization of the signature scheme includes the following steps:

[0096] Set the security parameter to K, and KDC selects two multiplicative cyclic groups G 1 ,G 2 , P is the group G 1 Generator of , e: G 1 ×G 1 →G ...

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Abstract

According to the invention, an Internet of Things model based on an edge computing framework is constructed, and an efficient and privacy-protected multi-dimensional data aggregation scheme is provided on the basis. According to the scheme, an identity-based lightweight signature algorithm and a Paillier encryption system are adopted to protect the privacy of a user from being invaded. In addition, the proposed scheme enables the Internet of Things sensing device to report multiple types of data in one report message using a hyper-incremental sequence, so that a service provider can analyze the data. Theoretical security analysis shows that the scheme can effectively protect personal data privacy of the user. Finally, experimental analysis shows that the scheme has relatively low calculated amount and communication overhead, and lightweight communication is realized to a certain extent.

Description

technical field [0001] The present invention relates to the technical field of data privacy protection, in particular to a lightweight privacy protection multi-dimensional data aggregation method based on edge computing. Background technique [0002] The development and widespread application of the Internet of Things (IoT) has greatly changed our lifestyle, providing great convenience and flexibility in our daily life. In order to collect real-time data of users, IoT devices are deployed close to consumers, and they record consumer usage data in real time and report to the control center. However, directly delivering user usage data to the control center will cause the control center to have to process a large amount of fine-grained usage data in a short period of time, thus putting serious pressure on the communication channel. In addition, data directly reported by IoT devices will expose consumers' real-time data usage, thereby compromising user privacy. Because real-t...

Claims

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Application Information

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IPC IPC(8): H04L29/06H04L29/08
CPCH04L63/06H04L63/062H04L63/08H04L63/123H04L67/12
Inventor 郭松涛康宇昊刘贵燕程俊华王曲苑
Owner SOUTHWEST UNIVERSITY
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