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Big Data Sharing (BDS) refers to the act of the data owners to share data sothat users can find, access and use data according to the agreement. In recentyears, BDS has been an emerging topic due to its wide applications, such as bigdata trading and cross-domain data analytics. However, as the multiple partiesare involved in a BDS platform, the issue of security and privacy violationarises. There have been a number of solutions for enhancing security andpreserving privacy at different big data operations (e.g., data operation, datasearching, data sharing and data outsourcing). To the best of our knowledge,there is no existing survey that has particularly focused on the broad andsystematic developments of these security and privacy solutions. In this study,we conduct a comprehensive survey of the state-of-the-art solutions introducedto tackle security and privacy issues in BDS. For a better understanding, wefirst introduce a general model for BDS and identify the security and privacyrequirements. We discuss and classify the state-of-the-art security and privacysolutions for BDS according to the identified requirements. Finally, based onthe insights gained, we present and discuss new promising research directions.

Security and Privacy in Big Data Sharing: State-of-the-Art and Research Directions