Privacy Crowdsourcing on Blockchain with Data Verification and Controllable Anonymity

XUE Kaiping; FAN Mao; WANG Feng; LUO Xingyi

doi:10.11999/JEIT230106

Volume 46 Issue 2

Feb. 2024

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Article Navigation > Journal of Electronics & Information Technology > 2024 > 46(2): 748-756

XUE Kaiping, FAN Mao, WANG Feng, LUO Xingyi. Privacy Crowdsourcing on Blockchain with Data Verification and Controllable Anonymity[J]. Journal of Electronics & Information Technology, 2024, 46(2): 748-756. doi: 10.11999/JEIT230106

Citation:

XUE Kaiping, FAN Mao, WANG Feng, LUO Xingyi. Privacy Crowdsourcing on Blockchain with Data Verification and Controllable Anonymity[J]. Journal of Electronics & Information Technology, 2024, 46(2): 748-756. doi: 10.11999/JEIT230106

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Privacy Crowdsourcing on Blockchain with Data Verification and Controllable Anonymity

doi: 10.11999/JEIT230106

XUE Kaiping^{1, 2},
FAN Mao¹,
WANG Feng^{2
,
,},
LUO Xingyi¹

1.
School of Cyber Science and Technology, University of Science and Technology of China, Hefei 230027, China
2.
Network and Information Center, University of Science and Technology of China, Hefei 230026, China

Funds: Anhui Province Key Technologies Research & Development Program (2022a05020050), Youth Innovation Promotion Association of the Chinese Academy of Sciences (CAS) (Y202093)

Received Date: 2023-02-27
Rev Recd Date: 2023-06-30

Available Online: 2023-07-06

Publish Date: 2024-02-29

Abstract

Abstract

Considering the requirements of data verification, anonymous malicious behavior detection and cross-platform resource interaction in privacy crowdsourcing, a scheme under the consortium chain architecture is proposed, basing on blockchain technology with zero-knowledge proof and ring signature technology. The proposed scheme relies on zero-knowledge proof to achieve encrypted data verification, relies on improved revocable-iff-linked ring signature to achieve controllable anonymity of workers, introduces consortium chain to realize resource interaction between crowdsourcing entities. In addition to completing the crowdsourcing process, the scheme also implements data protection and identity protection required for privacy crowdsourcing. Security analysis shows that the proposed scheme satisfies privacy, verifiability, controllable anonymity and fairness. Experimental results verify the advantages of the proposed scheme in efficiency and performance.
- Blockchain,
- Crowdsourcing,
- Privacy protection,
- Ring signature,
- Zero-knowledge proof

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References(21)

References

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