ZebraLancer: Crowdsource Knowledge atop Open Blockchain, Privately and Anonymously

Metadane

• Autorzy: Y. Lu, Q. Tang, G. Wang
• Rok: 2018
• Źródło: arXiv preprint
• DOI/Link: arXiv:1803.01256 (http://arxiv.org/abs/1803.01256)
• Status: to-read
• Pochodzenie: Wyekstrahowane z phishchain-2022 ([7] - related blockchain crowdsourcing work)
• Tagi: to-read reference blockchain crowdsourcing privacy anonymity cryptocurrency smart-contracts

Notatki

Publikacja dodana automatycznie z bibliografii.

Kontekst cytowania w PhishChain 2022:

• Referenced jako [7] w Introduction section
• Related work: Blockchain-based crowd sourcing system
• Key difference from PhishChain: ZebraLancer relies on cryptocurrency to maintain functionality
• PhishChain uses non-monetary incentives (skill points) instead

Unique features (ZebraLancer):

• Privacy and anonymity focus
• Crowdsource knowledge on open blockchain
• Cryptocurrency-based incentive model

Comparison:

• ZebraLancer: Cryptocurrency incentives, privacy-focused, open blockchain
• PhishChain: Skill points incentives, consortium blockchain, transparency-focused
• Both: Decentralized crowdsourcing via blockchain

Trade-offs:

• ZebraLancer: Privacy (anonymous participation) vs PhishChain: Transparency (verifiable audit trail)
• Cryptocurrency vs gamification incentives

Research area:

• Privacy-preserving crowdsourcing
• Blockchain dla collaborative knowledge systems
• Incentive design dla decentralized platforms

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