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Cited by 224Blockchain Technology Applications and SecurityMobile Crowdsensing and CrowdsourcingCryptography and Data Security

The DOI matches its Crossref record; 45 of the 46 references it cites were found in a registry or an index.

ZebraLancer: Private and Anonymous Crowdsourcing System atop Open Blockchain

Lu, Yuan, Tang, Qiang, Wang, Guiling·2018·2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS)
DOI 10.1109/icdcs.2018.00087
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Abstract

We design and implement the first private and anonymous decentralized crowdsourcing system ZebraLancer, and overcome two fundamental challenges of decentralizing crowdsourcing, i.e. data leakage and identity breach. First, our outsource-then-prove methodology resolves the tension between blockchain transparency and data confidentiality, which is critical in crowdsourcing use-case. ZebraLancer ensures: (i) a requester will not pay more than what data deserve, according to a policy announced when her task is published via the blockchain; (ii) each worker indeed gets a payment based on the policy, if he submits data to the blockchain; (iii) the above properties are realized not only without a central arbiter, but also without leaking the data to the open blockchain. Furthermore, the transparency of blockchain allows one to infer private information about workers and requesters through their participation history. On the other hand, allowing anonymity will enable a malicious worker to submit multiple times to reap rewards. ZebraLancer overcomes this problem by allowing anonymous requests/submissions without sacrificing the accountability. The idea behind is a subtle linkability: if a worker submits twice to a task, anyone can link the submissions, or else he stays anonymous and unlinkable across tasks. To realize this delicate linkability, we put forward a novel cryptographic concept, i.e. the common-prefix-linkable anonymous authentication. We remark the new anonymous authentication scheme might be of independent interest. Finally, we implement our protocol for a common image annotation task and deploy it in a test net of Ethereum. The experiment results show the applicability of our protocol with the existing real-world blockchain.

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Research works printed but not linked: 8

  1. hopwood, 0, Zcash Protocol Specification
  2. muncaster, 0, China's Internet wunderkind in the dock over alleged fraud
  3. wei, 0, Alipay apologizes for leak of personal info
  4. kelly, 0, Apple account hack raises concern about cloud storage
  5. mike isaac, 0, Uber hid 2016 breach paying hackers to delete stolen data
  6. kate, 0, Blockchain privacy Challenges solutions and unresolved issues
  7. 0, Ethereum Team Byzantium HF Announcement
  8. buterin, 2014, A next-generation smart contract and decentralized application platform

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Metadata

Authors
Lu, Y., Tang, Q., & Wang, G.
Affiliations
New Jersey Institute of Technology (US)
ORCID
Venue
2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS)
Publisher
IEEE
Published
2018-07
Pages
853-865
DOI
10.1109/icdcs.2018.00087
OpenAlex
W2790257806
Cited by
224
References
46
Citations by year
2026: 7 · 2025: 15 · 2024: 28 · 2023: 26 · 2022: 38 · 2021: 47 · 2020: 31 · 2019: 26 · 2018: 6
FWCI
21.58
Type
conference paper
Language
en
Open access
closed
Locations
IEEE International Conference on Distributed Computing Systems (ICDCS) (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
  • Physical Sciences › Computer Science › Computer Science Applications › Mobile Crowdsensing and Crowdsourcing
  • Physical Sciences › Computer Science › Computer Networks and Communications › Cryptography and Data Security
Keywords
blockchain, data privacy, data leakage, linkability, unlinkability, anonymous authentication, Ethereum, image annotation

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