摘要
随着数据成为新型生产要素,数据流通的需求日益增长。但是,数据中存在的隐私信息会在流通过程中面临泄露风险。隐私计算可以在满足隐私保护约束的同时促进数据价值的释放,而不经意关键词检索是隐私计算的基础任务,对隐私计算的落地应用至关重要。对不经意关键词检索的任务定义以及相关任务进行了介绍,详细解析了目前不经意关键词检索的典型技术路线,最后对不经意关键词检索面临的技术挑战以及未来发展趋势进行了分析与探讨。
As data becomes a new factor of production,the demand for data circulation is growing.However,the sensitive information faces the risk of leakage during the circulation process.Privacy-preserving computing can promote the release of data value while satisfying privacy-preserving constraints.Oblivious keyword search(OKS)is one of the basic tasks of privacy-preserving computing,and it is very important for the application of privacy-preserving computing.In this paper,we first introduce the task definition of OKS and the related tasks.Then,we introduce in detail the typical technical routes of OKS.Finally,we analyze and discuss the technical challenges and future research directions of current OKS technology.
作者
韩宗达
邓宇涛
程祥
HAN Zongda;DENG Yutao;CHENG Xiang(State Key Laboratory of Networking and Switching Technology,School of Computer Science(National Pilot Software Engineering School),Beijing University of Posts and Telecommunications,Beijing 100876,China)
出处
《信息通信技术与政策》
2022年第5期82-90,共9页
Information and Communications Technology and Policy
关键词
不经意关键词检索
信息检索
隐私计算
oblivious keyword search
information retrieval
privacy preserving computing