机构地区:[1]Key Laboratory of Aerospace Information Security and Trusted Computing,Ministry of Education,School of Cyber Science and Engineering,Wuhan University,Wuhan 430072,China [2]State Key Laboratory of Cryptology,P.O.Box 5159,Beijing 100878,China [3]College of Communication and Information,University of Kentucky,Lexington KY 40506,USA [4]Department of Computer Science and Engineering,Thapar University,Patiala 147004,India [5]Department of Information Systems and Cyber Security and Department of Electrical and Computer Engineering,University of Texas at San Antonio,San Antonio TX 78249,USA
出 处:《Science China(Information Sciences)》2020年第3期16-29,共14页中国科学(信息科学)(英文版)
基 金:supported in part by National Key Research and Development Program of China (Grant No. 2018YFC1604004);National Natural Science Foundation of China (Grant Nos. 61572379, 61772377, 61841701);Natural Science Foundation of Hubei Province of China (Grant Nos. 2017CFA007, 2015CFA068);supported by Cloud Technology Endowed Professorship
摘 要:A robust and scalable crowd management infrastructure is crucial in addressing operational challenges when deploying high-density sensors and actuators in a smart city. While crowdsourcing is widely used in crowd management, conventional solutions, such as Upwork and Amazon Mechanical Turk, generally depend on a trusted third-party platform. There exist several potential security concerns(e.g., sensitive leakage, single point of failure and unfair judgment) in such a centralized paradigm. Hence, a recent trend in crowdsourcing is to leverage blockchain(a decentralized ledger technology) to address some of the existing limitations. A small number of blockchain-based crowdsourcing systems(BCSs) with incentive mechanisms have been proposed in the literature, but they are generally not designed with security in mind. Thus, we study the security and privacy requirements of a secure BCS and propose a concrete solution(i.e., SecBCS)with a prototype implementation based on JUICE.A robust and scalable crowd management infrastructure is crucial in addressing operational challenges when deploying high-density sensors and actuators in a smart city. While crowdsourcing is widely used in crowd management, conventional solutions, such as Upwork and Amazon Mechanical Turk, generally depend on a trusted third-party platform. There exist several potential security concerns(e.g., sensitive leakage, single point of failure and unfair judgment) in such a centralized paradigm. Hence, a recent trend in crowdsourcing is to leverage blockchain(a decentralized ledger technology) to address some of the existing limitations. A small number of blockchain-based crowdsourcing systems(BCSs) with incentive mechanisms have been proposed in the literature, but they are generally not designed with security in mind. Thus, we study the security and privacy requirements of a secure BCS and propose a concrete solution(i.e., SecBCS)with a prototype implementation based on JUICE.
关 键 词:crowdsourcing blockchain SECURE PRIVACY-PRESERVING smart contract
分 类 号:TP311.13[自动化与计算机技术—计算机软件与理论] TP309[自动化与计算机技术—计算机科学与技术]
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