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A survey of blockchain technology on security, privacy, and trust in crowdsourcing services

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Abstract

Blockchain is a new decentralized distributed technology, which guarantees trusted transactions in untrustworthy environments by realizing value transfer network. Because of its important value and significance to lead human society from the information transmission internet era to the value transmission internet era, it has attracted the attention of researchers in crowdsourcing services. This paper firstly observes the development trend of blockchain technology from the perspective of global government and enterprises. Then we briefly review the related concepts of blockchain and basic model of blockchain. On this basis, a comprehensive summary of the state of the blockchain research has been made on related articles which are recently published. In order to show its functional value, further investigation has been taken on the main technologies on security, privacy, and trust in crowdsourcing services and application scenarios related to this field. Finally, the advantages and challenges of blockchains are discussed. It is hoped to provide useful reference and help for the future research on blockchain technology used in crowdsourcing services.

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  1. ethereum-whitepaper.http://ethfans.org/posts/ethereum-whitepaper

  2. ethereum-whitepaper.http://ethfans.org/posts/ethereum-whitepaper

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Acknowledgements

This work was supported in part by the National Natural Science Foundation of China (Grant No. 61502404), Natural Science Foundation of Fujian Province of China (Grant No. 2019J01851), Distinguished Young Scholars Foundation of Fujian Educational Committee (Grant No. DYS201707), Xiamen Science and Technology Program (Grant No. 3502Z20183059), and Open Fund of Key Laboratory of Data mining and Intelligent Recommendation, Fujian Province University. We thank the anonymous reviewers for their great helpful comments.

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  1. Department of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China

    Ying Ma, Yunjie Lei, Nan Qin & Junwen Lu

  2. Key Laboratory of Data Mining and Intelligent Recommendation of Fujian Province, Xiamen University of Technology, Xiamen, China

    Ying Ma

  3. Department of Education and Learning Technology, National Tsing Hua University, Hsinchu, Taiwan

    Yu Sun

  4. Engineering Research Center for Software Testing and Evaluation of Fujian Province, Xiamen, China

    Junwen Lu

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  1. Ying Ma
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This article belongs to the Topical Collection: Special Issue on Trust, Privacy, and Security in Crowdsourcing Computing

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Ma, Y., Sun, Y., Lei, Y. et al. A survey of blockchain technology on security, privacy, and trust in crowdsourcing services. World Wide Web 23, 393–419 (2020). https://doi.org/10.1007/s11280-019-00735-4

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