Authors
Ming Li, Jian Weng, Anjia Yang, Wei Lu, Yue Zhang, Lin Hou, Jia-Nan Liu, Yang Xiang, Robert H Deng
Publication date
2018/11/18
Journal
IEEE transactions on parallel and distributed systems
Volume
30
Issue
6
Pages
1251-1266
Publisher
IEEE
Description
Crowdsourcing systems which utilize the human intelligence to solve complex tasks have gained considerable interest and adoption in recent years. However, the majority of existing crowdsourcing systems rely on central servers, which are subject to the weaknesses of traditional trust-based model, such as single point of failure. They are also vulnerable to distributed denial of service (DDoS) and Sybil attacks due to malicious users involvement. In addition, high service fees from the crowdsourcing platform may hinder the development of crowdsourcing. How to address these potential issues has both research and substantial value. In this paper, we conceptualize a blockchain-based decentralized framework for crowdsourcing named CrowdBC, in which a requester's task can be solved by a crowd of workers without relying on any third trusted institution, users' privacy can be guaranteed and only low transaction …
Total citations
2017201820192020202120222023202421270981051129137
Scholar articles
M Li, J Weng, A Yang, W Lu, Y Zhang, L Hou, JN Liu… - IEEE transactions on parallel and distributed systems, 2018