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

TL;DR

This paper provides a comprehensive survey of current security and privacy solutions in Big Data Sharing, analyzing their effectiveness and identifying future research directions in this critical area.

Contribution

It systematically reviews and classifies existing security and privacy solutions for BDS, filling a gap in the literature by focusing on broad developments and challenges.

Findings

Identifies key security and privacy requirements in BDS

Classifies existing solutions based on these requirements

Suggests promising future research directions

Abstract

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.