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