面向隐私保护的大数据查询处理方法研究

项目名称： 面向隐私保护的大数据查询处理方法研究

项目编号： No.61472148

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 自动化技术、计算机技术

项目作者： 丁晓锋

作者单位： 华中科技大学

项目金额： 80万元

中文摘要： 随着社会信息化和网络化的迅速发展，大数据正逐渐走进人们的视野，面对大数据的查询处理需求日益增加，呈现出爆炸式增长、计算复杂化等特点。同时，大数据在收集、存储和查询处理过程中也面临着诸如数据隐私泄露等安全风险，为用户带来严重困扰。这些特点和需求都对传统的数据管理和查询处理方式提出了新的挑战。本项目以构建安全、高效的大数据查询处理平台为目标，研究有利于大数据安全和隐私保护的，支持在线数据高效查询的分布式存储体系结构、高效的大数据安全访问控制机制、大数据的隐私内嵌式索引机制、以及支持隐私定义的高效并行查询语言等基本理论和关键技术，并为科学计算、医疗卫生、智能电网等行业构建自适应性强、安全性能好的数据密集型应用平台提供基础。本课题的研究工作具有重要的理论价值和现实意义，将对大数据管理的基础理论与关键技术的研究起到重要推动作用，对其在航空航天、金融销售、天文气象等国家重要领域的应用起到引导作用。

中文关键词： 大数据；查询处理；隐私保护；大数据安全；第四范式

英文摘要： With the rapid development of information technology and social networking, big data is being gradually come into people's vision, there are increasing demand for big data query processing, showing explosive growth, computation complexity and other characteristics. Meanwhile, in the procedure of big data collection, storage and query processing there are security issues like privacy leakage, which brings serious trouble to users. These characteristics and needs presents new challenges to both the traditional data management and query processing approach. The project aims to building a secure,efficient query processing platform in favor of big data security and privacy protection, support efficient online queries based on distributed storage architecture, efficient access control mechanisms, privacy embedded indexing mechanism,as well as support privacy efficient parallel query language etc. This project will privide platforms for scientific computing, healthcare, smart grid and other industries with strong adaptability, security and good performance. Study of this project has important theoretical and practical significance, it will accelerate the study of basic theory and key technology of big data management, and play an important role in promoting its application in national important areas of aerospace, financials, astronomy and others.

英文关键词： Big Data;Query Processing;Privacy Preserving;Big Data Security;The Fourth Paradigm