Privacy-Preserving Methods and Applications in Big Data Sharing

Dear Colleagues,

With the rapid development of modern technology, tremendous data is generated from social networking sites, sensor networks, the Internet, healthcare applications, and many other practical scenarios. Big data is the huge amount of data generated from different sources in multiple formats at very high speed. As a cutting-edge technology, big data has become a very active research area in the past decades and has been closely combined with other emerging domains such as artificial intelligence, the Internet of Things, databases, and smart healthcare. Despite the extensive applications of big data, during processing, analyzing, and implementing big data, privacy security is an inevitable issue and poses a crucial challenge to further promote the development of the information society.

This Special Issue focuses on privacy-preserving methods and applications in big data sharing including big data analyzing, processing, mining, etc. The aim is to gather researchers from various fields and backgrounds to solve privacy concerns on big data. It is an opportunity to present all their latest works and achievements, and bring new perspectives to the future directions of privacy-preserving big data research.

Prof. Dr. Xiaofeng Ding
Prof. Dr. Pan Zhou
Guest Editors

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