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Industrial internet sensitive data protection method based on cloud and mist collaboration

An industrial Internet and sensitive data technology, applied in the field of industrial data protection, can solve problems such as unrecoverable data and high storage pressure

Active Publication Date: 2019-09-06
BEIJING UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to propose a method for protecting sensitive data in the industrial Internet based on cloud-fog collaboration. The improvement of this method is that distributed storage is used locally, and corresponding restrictions are added to RS, which not only solves the problem of high storage pressure on local devices and local device Faults lead to the problem that data cannot be recovered, and improve the efficiency of encoding and decoding, and reduce computing costs

Method used

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  • Industrial internet sensitive data protection method based on cloud and mist collaboration
  • Industrial internet sensitive data protection method based on cloud and mist collaboration
  • Industrial internet sensitive data protection method based on cloud and mist collaboration

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Embodiment Construction

[0036] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0037] figure 1 It is a schematic diagram of the fog computing architecture, including the factory terminal equipment layer, the fog computing layer and the cloud computing layer. At the bottom is the factory terminal equipment layer, the main job of this layer is to collect data and upload it to the fog server. As the middle layer of the fog computing model, the fog computing layer plays a vital role in the transmission between the cloud computing layer and the fog device. Fog nodes in the fog computing layer have certain storage capacity and computing power. The introduction of fog computing can ease the cloud computing layer and improve work efficiency. The cloud computing layer has powerful storage capacity and computing power.

[0038] figure 2 It is a schematic diagram of the industrial sensitive data protection model in the present inventio...

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Abstract

The invention discloses an industrial internet sensitive data protection method based on cloud and mist collaboration. The method designs an industrial sensitive data protection model. For data sensitive to industrial delay, a data protection scheme based on Adaboost and local differential privacy is designed, and sensitive data is protected on the basis of ensuring data availability; a data protection scheme based on AES (Advanced Encryption Standard) encryption and Reed-Solomon coding is designed for data which is sensitive to industrial non-delay and takes cloud storage as a main part.. According to the method, distributed storage is adopted locally, and corresponding limiting conditions are added to the RS, so that the problem that data cannot be recovered due to high storage pressureof local equipment and faults of the local equipment is solved, the coding and decoding efficiency is improved, and the operation cost is reduced.

Description

technical field [0001] The invention relates to a sensitive data protection method based on fog-cloud combination applied in the industrial Internet, and belongs to the technical field of industrial data protection. Background technique [0002] In the process of industrial production, a large amount of sensitive data will be generated, including the manufacturing process of the production line, cost information of products, operation data, operation information and data, marketing strategies, intellectual property rights and customer data. Once these sensitive data are leaked, it may cause a significant loss of business and even damage to a company's reputation. In the context of the Industrial Internet, ensuring that sensitive information is not leaked is a major challenge currently. [0003] In actual industrial scenarios, some sensitive data needs to be processed in real time, such as data for predictive maintenance in current smart factories. If a CNC machine tool fai...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F21/60G06F21/62G06K9/62
CPCG06F21/602G06F21/6218G06F18/214
Inventor 刘静原昌博赖英旭唐通宿骞赵子健薛德凡
Owner BEIJING UNIV OF TECH
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