EncKV:具有丰富查询的加密键值存储

Xingliang Yuan, Yu Guo, Xinyu Wang, Cong Wang, Baochun Li, X. Jia
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引用次数: 38

摘要

分布式数据存储正在迅速发展,以满足在线游戏和实时定位等大规模应用程序的需求。特别是,分布式键值存储由于其优越的性能而被广泛采用。然而,这些系统不能保证为数据保密性提供强有力的保护,因此无法解决大规模数据泄露引发的严重隐私问题。本文介绍了一种具有安全富查询支持的加密键值存储EncKV。首先,EncKV以加密键值对的形式存储具有多个辅助属性的加密数据记录。其次,它利用最新的实用原语来搜索加密数据,即可搜索的对称加密和揭示顺序的加密,并提供具有保证安全性的加密索引,以支持通过数据记录的辅助属性进行精确匹配和范围匹配查询。第三,它仔细地将这些索引集成到分布式索引框架中,以促进并行的安全查询处理。为了减轻最近对加密数据库系统的推理攻击,EncKV在范围查询期间保护了订单信息,并提出了交互式批处理查询机制,以进一步隐藏不同属性上数据值之间的关联。我们在Redis集群上实现了一个EncKV原型,并在Amazon EC2公共云平台上进行了一组广泛的性能评估。结果表明,EncKV有效地保留了明文分布式键值存储的效率和可扩展性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
EncKV: An Encrypted Key-value Store with Rich Queries
Distributed data stores have been rapidly evolving to serve the needs of large-scale applications such as online gaming and real-time targeting. In particular, distributed key-value stores have been widely adopted due to their superior performance. However, these systems do not guarantee to provide strong protection of data confidentiality, and as a result fall short of addressing serious privacy concerns raised from massive data breaches. In this paper, we introduce EncKV, an encrypted key-value store with secure rich query support. First, EncKV stores encrypted data records with multiple secondary attributes in the form of encrypted key-value pairs. Second, it leverages the latest practical primitives for searching over encrypted data, i.e., searchable symmetric encryption and order-revealing encryption, and provides encrypted indexes with guaranteed security to support exact-match and range-match queries via secondary attributes of data records. Third, it carefully integrates these indexes into a distributed index framework to facilitate secure query processing in parallel. To mitigate recent inference attacks on encrypted database systems, EncKV protects the order information during range queries, and presents an interactive batch query mechanism to further hide the associations across data values on different attributes. We implement an EncKV prototype on a Redis cluster, and conduct an extensive set of performance evaluations on the Amazon EC2 public cloud platform. Our results show that EncKV effectively preserves the efficiency and scalability of plaintext distributed key-value stores.
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