Low-cost privacy-protected linkable decentralized crowdsourcing method and system

By combining attribute encryption and zero-knowledge proofs with ciphertext strategies, along with smart contracts and the InterPlanetary File System, the problem of balancing privacy protection and on-chain costs in decentralized crowdsourcing systems on the blockchain is solved. This achieves low-cost anonymity and privacy protection, prevents cheating, and improves the scalability of the system.

CN116628081BActive Publication Date: 2026-05-29JINAN UNIVERSITY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
JINAN UNIVERSITY
Filing Date
2023-04-23
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

Existing decentralized crowdsourcing systems on the blockchain have shortcomings in terms of privacy protection and on-chain cost balancing, resulting in poor system scalability. Furthermore, existing cost-reduction solutions sacrifice anonymity or privacy protection features.

Method used

It adopts a ciphertext strategy based on attribute encryption (CP-ABE) and zk-SNARK zero-knowledge proof, combined with smart contracts and the InterPlanetary File System (IPFS), to perform task submission and identity verification on the blockchain, introduce anti-cheating mechanisms, ensure anonymity and privacy protection, and reduce on-chain overhead.

Benefits of technology

It achieves a reduction in total system overhead with constant-level complexity, ensures user privacy and anonymity, prevents cheating, and improves the system's scalability and fairness.

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Abstract

The application discloses a kind of support low-cost privacy protection linkable decentralized crowdsourcing method and system, method is: establishing crowdsourcing system, determines interactive entity;Run initialization and key generation algorithm, system registration is carried out;Task requester sets task, is published to blockchain through smart contract and specifies task collector to carry out task collection;Worker receives task, and sends solution under blockchain to task collector;Task collector carries out identity authentication and effective data screening, and result is published to blockchain and is opened;Anti-cheating mechanism is introduced, and each interactive entity carries out cheating disclosure on the result published on smart contract;Task collector collects final result and submits to task requester, and task requester distributes task reward.The application reduces system total overhead to constant level of complexity while protecting data privacy on blockchain, simultaneously introduces anti-cheating mechanism, allows cheating behavior to be disclosed, and guarantees the anonymity of honest users.
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