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.
翻译:大数据共享(BDS)是指数据所有者分享数据,以便用户能够根据协议找到、访问和使用数据的行为;近年来,由于应用范围广泛,例如大数据交易和跨域数据分析,BDS已成为一个新专题;然而,由于多个当事方都参与BDS平台,安全和隐私侵犯问题出现;在不同大数据操作(例如数据操作、数据搜索、数据共享和数据外包)中,为加强安全和保护隐私,存在若干解决办法;根据我们的最佳知识,现有调查没有特别侧重于这些安全和隐私解决方案的广泛和系统发展;在这项研究中,我们对为解决BDS中的安全和隐私问题而采用的最新解决办法进行了全面调查;为了更好地了解,我们首先为BDS引入了一个通用模式,并确定了安全和隐私要求;我们讨论和分类了BDS的最新安全和隐私解决方案,并根据所确定的要求。最后,根据所了解的见解,我们介绍并讨论了新的有希望的研究方向。