中文摘要：

目前,大数据受到社会各界的广泛关注。受数据体量大、结构多样化、处理迅速快等因素影响,大多数传统的数据安全保护技术不再适用于大数据环境,着使得大数据安全问题日益严重。为此,近些年提出了大量的大数据安全保护技术。从加密算法、完整性校验、访问控制技术、密文数据去重和可信删除、密文搜索等视角,对当前大数据安全保护关键技术的研究现状进行分类阐述,分析其优缺点,并探讨它们未来发展趋势。

英文摘要：

Big Data has attracted tremendous attention from all over the world nowadays. Its sheer volume, complex structure and realtime processing requirements often obsolete traditional technologies when coming to provide sufficient security protection. To address this challenge, significant research efforts have been carried out by the research community since recent years. Different technical aspects of big data security, including encryption algorithms, data integrity auditing, access control, secure data duplication, assured deletion, and secure search were surveyed, and in-depth discussions on their pros and cons were provided. Various future research directions were also discussed.