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Crowd sensing machine learning security crowdsourcing method and system based on block chain

A machine learning and crowd perception technology, applied in instruments, payment systems, payment architectures, etc., can solve problems such as user deception, user local data and model leakage, and achieve the effect of embodying trust and security.

Pending Publication Date: 2020-11-06
CHENGDU UNIVERSITY OF TECHNOLOGY
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to overcome the deficiencies of the existing technologies. In view of the problems of user local data and model leakage, user deception, and fairness protection in machine learning crowdsourcing, the present invention will use blockchain technology to solve machine learning problems. Learn the problems existing in crowdsourcing, and implement a blockchain-based group intelligence perception machine learning security crowdsourcing method and system

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  • Crowd sensing machine learning security crowdsourcing method and system based on block chain
  • Crowd sensing machine learning security crowdsourcing method and system based on block chain
  • Crowd sensing machine learning security crowdsourcing method and system based on block chain

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Embodiment Construction

[0042] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, the specific implementation of the present invention will now be described with reference to the accompanying drawings, but the protection scope of the present invention is not limited to the following description.

[0043] A block chain-based crowd-sensing machine learning security crowdsourcing method, including the following sub-steps:

[0044] S1. User registration and login;

[0045] S2. The initiator designs the crowdsourcing project, describes the specific project requirements and quality level range and the corresponding remuneration;

[0046] S3. Deploy the designed crowdsourcing project development process to the system, and lock the transaction remuneration in the platform;

[0047] S4. Participants who are interested in the machine learning crowdsourcing project apply for participation, and when the identity review is passed, participate in the m...

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Abstract

The invention relates to a crowd sensing machine learning security crowdsourcing method and system based on a block chain, the crowdsourcing system is divided into four core function modules a platform user module, a crowdsourcing process module, a crowdsourcing project module and a system management module, and platform users, crowdsourcing projects and system management related data are stored in an underlying block chain. Crowdsourcing process data is stored in a traditional centralized database. Through the system, transaction records of all personnel of different project organizations canbe inquired, and compared with a traditional crowdsourcing platform or joint learning, the transaction records of the system cannot be tampered and forged, and the trust degree and safety of the platform are greatly reflected. A user can use different identities to log in the system, and management is carried out through access control and identity authentication of the underlying blockchain. Allthe transaction information of the system is completely stored in the block chain. Transaction is a unique mode of interaction between a user and a block chain, and the user initiates the transactionthrough a Fabric chain code and never adds, deletes, modifies and checks block chain data.

Description

technical field [0001] The present invention relates to the field of software systems, in particular to a block chain-based group intelligence sensing machine learning security crowdsourcing method and system. Background technique [0002] Blockchain technology is considered to be the cornerstone of the digital economy. Due to the characteristics of openness, transparency, non-tamperability, peer-to-peer interconnection, and easy traceability of blockchain technology, it can integrate medical bills, fiscal and tax invoices, electronic contracts, accounts receivable, trade Traditional assets such as warehouse receipts are more easily recorded and linked digitally. Ultimately, a new type of trust mechanism based on credible data and multi-party consensus will be fundamentally formed. Crowdsourcing is a distributed task completion mechanism provided to Internet users. It organizes users who do not know each other on the Internet to jointly achieve tasks that are difficult for ...

Claims

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Application Information

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IPC IPC(8): G06Q20/38G06Q40/04G06F21/64G06F21/31
CPCG06Q20/389G06Q40/04G06F21/64G06F21/31
Inventor 李冬芬刘明哲何菊兰王林平钟豪唐小川
Owner CHENGDU UNIVERSITY OF TECHNOLOGY