earticle

영어

Crowdsourcing has been widely applied to collect or label data through the Internet. In crowdsourcing, truth discovery enables servers to estimate and extract truthful information from multiple possibly conflicting data sources. However, apply crowdsourcing to fog computing still suffers from one critical problem: How to achieve privacy preservation under a flexible fog-computing architecture without the assistance of a cloud. Collusion and fault tolerance of fog server's dropout should be carefully taken care. A privacypreserving crowdsourcing scheme with truth discovery in fog computing is proposed. The scheme preserves privacy of workers’ data and satisfies the (T, N)-threshold property, which resists collusion of T-1 number of fog servers and 𝑵 − 𝑻 number of dropouts of the servers. Extensive analysis is conducted on privacy preservation and reliability, showing that the proposed scheme is effective and secure in fog computing. Experimental results show that the proposed scheme is efficient regarding computation and network communication.