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Federal learning-based privacy protection model aggregation system and method in Internet of Vehicles

A technology of privacy protection and aggregation method, which is applied to the aggregation system and field of privacy protection model based on federated learning in the Internet of Vehicles, which can solve the problem of not considering the workload of the trusted authority center, the macro efficiency problem, and the inapplicability of the application environment, etc. problems, to achieve high practicality, high efficiency, high privacy protection and security effects

Active Publication Date: 2021-07-23
WUHAN UNIV OF TECH
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  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

However, such schemes only consider the secure transmission of traffic information data and the privacy protection of vehicle identities, and do not consider the workload of trusted authority centers and macro efficiency issues, and are not suitable for practical application environments.

Method used

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  • Federal learning-based privacy protection model aggregation system and method in Internet of Vehicles
  • Federal learning-based privacy protection model aggregation system and method in Internet of Vehicles
  • Federal learning-based privacy protection model aggregation system and method in Internet of Vehicles

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Embodiment Construction

[0044] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit this invention.

[0045] please see figure 1 , a vehicle network model aggregation system based on federated learning privacy protection in the vehicle network provided by the present invention has a three-layer architecture, specifically including a trusted authority center (Trusted Authority, hereinafter referred to as TA), a cloud server (Cloud Server, hereinafter CS for short), Fog Node (Fog Node, hereinafter referred to as FN), Vehicle (Vehicle, hereinafter referred to as V);

[0046] Assume that there is a TA, a CS, and n FNs evenly distributed on the side of the road i...

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Abstract

The invention discloses a privacy protection model aggregation system and method based on federated learning in the Internet of Vehicles. The system comprises a TA (Trusted Authority), a CS (Cloud Server), a Fog Node FN (Fog Node) and a V (Vehicle). The method comprises the four steps of system initialization, vehicle data collection, training to generate a local model and aggregation to generate a global model. According to the invention, under the condition that the privacy information of the vehicle is not leaked, the cloud server can effectively generate the global model of the Internet of Vehicles, Meanwhile, the privacy of the local model and the global model in the aggregation process is ensured. The method can promote stable operation of the intelligent traffic system and has good practicability.

Description

technical field [0001] The invention belongs to the technical field of car networking data privacy protection, and relates to a car networking model aggregation system and method for privacy protection in car networking, in particular to the characteristics of the car networking field, the need for user identity privacy protection, and the demand for safe transmission of model data , by combining federated learning technology, fog computing technology, homomorphic encryption algorithm, digital signature algorithm, and blinding technology, a federated learning-based privacy protection model aggregation system and method in the Internet of Vehicles. Background technique [0002] With the help of a new generation of mobile communication technology, the Internet of Vehicles can not only improve the efficiency of traffic operation, but also help to improve the intelligent management level of traffic services, and can solve the problem of poor correlation between road vehicles, tra...

Claims

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Application Information

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IPC IPC(8): H04W4/44H04W12/00H04W12/02H04W12/03G06N20/00G08G1/01
CPCH04W4/44H04W12/009H04W12/02G06N20/00G08G1/0125
Inventor 夏喆舒一峰沈华张明武
Owner WUHAN UNIV OF TECH
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