A device life cycle management system and method based on blockchain technology

Abstract

The invention discloses a device lifecycle management system and method based on block chain technology, including user terminals, device vendors, devices, smart contracts on block chains and distributed databases under block chains; user terminals Including: user key generation module, device communication module, data encapsulation module; device vendor includes: device vendor key generation module, device vendor key distribution module; device includes: data generation module, device storage module, device signature module; Smart contracts on the block chain include: smart contract interface, device lifecycle management contract, and data tamper-proof contract. The present invention can use blockchain technology and key signature technology to realize the blockchain storage of the entire life cycle of the equipment, thereby providing data reliability guarantee and data source query support for the data generated by the equipment, increasing the value of the data, and making the data shareable and protect the privacy and data ownership of device users.

Description

technical field [0001] The present invention relates to the field of information security, in particular to a device life cycle management system and method based on block chain technology. Background technique [0002] At present, most sensor devices transmit the sensor data to the equipment manufacturer after obtaining the sensor data and store it in the equipment supplier's database using a cloud storage solution. The factory information and sales information of the equipment are collected and stored by the equipment manufacturer, and most of the sales information has a strong binding relationship with the user's mobile phone number or name and other personal information. Therefore, there are the following problems: [0003] 1. It is difficult to confirm the rights of personal data. Data holders are usually equipment vendors rather than users. Users are deprived of rights such as consent, information, and objection, and generally only have the right to view data. [00...

AI Technical Summary

Problems solved by technology

[0004] 2. Data reliability is poor and unfalsifiable

If the data is stored in the equipment manufacturer's database, then the equipment manufacturer has absolute control over the cloud storage database, which can tamper with user data, and the equipment manufacturer's database may also be compromised; if the data is stored in the hands of the user, it cannot be avoided Tampering of data

The possibility of data tampering makes it difficult to reach a data trust relationship between relevant research institutions and data holders, thus destroying the value of the data itself

[0005] 3. User privacy is difficult to be protected

Widespread risk of privacy leakage has seriously affected the enthusiasm of users to share data

[0006] 4. The source of the device and the owner of the device cannot be determined

[0007] 5. Data sharing has poor support for non-authoritative equipment manufacturers

Only the data generated by the equipment of large-scale or authoritative equipment manufacturers in the industry is easy to be trusted, and the data generated by equipment developed by smaller equipment manufacturers is often not recognized

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