ZebraLancer: Private and Anonymous Crowdsourcing System atop Open Blockchain

  title={ZebraLancer: Private and Anonymous Crowdsourcing System atop Open Blockchain},
  author={Yuan Lu and Qiang Tang and Guiling Wang},
  journal={2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS)},
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… CONTINUE READING