Attribute-Based Worker Selection Scheme by Using Blockchain in Decentralized Crowdsourcing Scenario

YANG Qiliang; ZHANG Mingrui; ZHOU Yanwei; YU Yong

doi:10.1049/cje.2021.01.007

Volume 30 Issue 2

Apr. 2021

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Article Navigation > Chinese Journal of Electronics > 2021 > 30(2): 249-257

YANG Qiliang, ZHANG Mingrui, ZHOU Yanwei, et al., “Attribute-Based Worker Selection Scheme by Using Blockchain in Decentralized Crowdsourcing Scenario,” Chinese Journal of Electronics, vol. 30, no. 2, pp. 249-257, 2021, doi: 10.1049/cje.2021.01.007

Citation:

YANG Qiliang, ZHANG Mingrui, ZHOU Yanwei, et al., “Attribute-Based Worker Selection Scheme by Using Blockchain in Decentralized Crowdsourcing Scenario,” Chinese Journal of Electronics, vol. 30, no. 2, pp. 249-257, 2021, doi: 10.1049/cje.2021.01.007

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Attribute-Based Worker Selection Scheme by Using Blockchain in Decentralized Crowdsourcing Scenario

doi: 10.1049/cje.2021.01.007

YANG Qiliang^1
,,
ZHANG Mingrui^1
,,
ZHOU Yanwei^{1, 2
,},
YU Yong^{1
,
,}

1.
School of Computer Science, Shaanxi Normal University, Xi'an 710119, China
2.
Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Science and Technology, Guilin 541004, China

Funds:

the National Natural Science Foundation of China U19B2021

the Research Funds of Guangxi Key Laboratory of Trusted Software KX202002

More Information

Author Bio:
YANG Qiliang   was born in 1991. He received the M.S. degree in computer science and engineering from Sun Yat-sen University. He is a Ph.D. candidate of Shaanxi Normal University. His research interests include blockchain and cryptography. (Email: qlyang68@163.com)

ZHANG Mingrui   was born in 1996. He received the B.E. degree in software engineering from Xi'an University of Posts and Telecommunications. He is an M.S. candidate of Shaanxi Normal University. His research interests include secure network protocols and its analysis. (Email: 1797763610@qq.com)

ZHOU Yanwei   was born in 1986. He received the Ph.D. degree in cryptography from Shaanxi Normal University. He is a senior engineer of Shaanxi Normal University. His research interests include anonymous communication and cryptography. (Email: zyw@snnu.edu.cn)
Corresponding author: YU Yong (corresponding author) was born in 1980. He received the Ph.D. degree in cryptography from Xidian University. He is a professor of Shaanxi Normal University. His research interests include cryptography and its applications. (Email: yuyonguestc@126.com)
Received Date: 2020-04-21
Accepted Date: 2020-10-10
Publish Date: 2021-03-01

Abstract

Abstract

Traditional crowdsourcing based on centralized management platform is vulnerable to Distributed denial of service (DDoS) attack and single point of failure. Combining blockchain technology with crowdsourcing can well solve the above problems, enabling users to realize peer-to-peer transactions and collaboration based on decentralized trust in distributed systems where nodes do not need to trust each other. Although the current methods have solved the above problems, task publishers select workers based on their reputation values, which has two disadvantages: subjectivity and difficulty in initial value setting. Due to the complexity of crowdsourcing network, there will be malicious users in the network. The requirement for anonymity protects both legitimate and malicious users. In order to solve these problems, we propose an attribute-based worker selection scheme using the private set intersection technology. Our scheme also realizes the malicious user identity disclosure function. A concrete example of our scheme is given.
- Blockchain,
- Multi-attribute,
- Private set intersection,
- Anonymity,
- Traceability

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References(23)

References

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