A Personalized Privacy Protection Framework for Mobile Crowdsensing in IIoT

• Published in: IEEE transactions on industrial informatics Vol. 16; no. 6; pp. 4231 - 4241
• Main Authors: Xiong, Jinbo, Ma, Rong, Chen, Lei, Tian, Youliang, Li, Qi, Liu, Ximeng, Yao, Zhiqiang
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.06.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Computer simulation; Data collection; Data encryption; Data management; Data privacy; Digitization; Encryption; Game theory; Industrial applications; industrial Internet of Things (IoT); Internet of Things; mobile crowdsensing; personalized privacy protection; Privacy; privacy measurement; Sensors; Task analysis

With the rapid digitalization of various industries, mobile crowdsensing (MCS), an intelligent data collection and processing paradigm of the industrial Internet of Things, has provided a promising opportunity to construct powerful industrial systems and provide industrial services. The existing uni...