网络与信息安全学报 ›› 2016, Vol. 2 ›› Issue (4): 21-32.doi: 10.11959/j.issn.2096-109x.2016.00041

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大数据安全高效搜索与隐私保护机制展望

李尚,周志刚,张宏莉,余翔湛   

  1. 哈尔滨工业大学计算机科学与技术学院,黑龙江 哈尔滨 150001
  • 修回日期:2016-04-02 出版日期:2016-04-01 发布日期:2016-05-25
  • 作者简介:李尚(1989-),男,山东济宁人,哈尔滨工业大学博士生,主要研究方向为大数据安全搜索。|周志刚(1986-),男,山西太原人,哈尔滨工业大学博士生,主要研究方向为云安全和隐私计算。|张宏莉(1973-),女,吉林榆树人,博士,哈尔滨工业大学教授、博士生导师,主要研究方向为网络与信息安全、网络测量与建模、网络计算、并行处理等。|余翔湛(1973-),男,黑龙江哈尔滨人,博士,哈尔滨工业大学研究员、博士生导师,主要研究方向为网络容灾、信息安全、物联网安全等。
  • 基金资助:
    国家自然科学基金资助项目(61402137);国家重点基础研究发展计划(“973”计划)基金资助项目(2013CB329602)

Prospect of secure-efficient search and privacy-preserving mechanism on big data

Shang LI,Zhi-gang ZHOU,Hong-li ZHANG,Xiang-zhan YU   

  1. School of Computer Science and Technology,Harbin Institute of Technology,Harbin 150001,China
  • Revised:2016-04-02 Online:2016-04-01 Published:2016-05-25
  • Supported by:
    The National Natural Science Foundation of China(61402137);The National Basic Research Program of China (973 Program)(2013CB329602)

摘要:

随着信息产业的飞速发展,围绕大数据搜索展开的服务已渗透到人们生活的方方面面。相关技术领域也正在经历深刻变革,如数据融合的隐私保护、场景感知的搜索意图理解、统计概率式的搜索模式等。结合国内外最新研究进展,对大数据安全高效搜索与隐私保护问题进行了研究展望:首先,从多源数据发布、用户搜索需求感知及隐私感知的智慧解答3个视角凝练了大数据安全搜索与隐私保护的科学问题;其次,提出了面向大数据的信息融合与知识萃取技术、粒度化的知识表示与推演技术、支持平台与用户互动的搜索任务表示模型、基于用户体验驱动的任务管理技术、效用与代价平衡的粒度化搜索技术和基于差分隐私的安全搜索机制等研究内容;最后,对相关的技术路线进行了展望。

关键词: 大数据, 安全搜索, 隐私保护, 多源融合

Abstract:

With rapid development of information industry,services related to big data search have permeated into almost every aspect of human lives.Relevant technologies are undergoing profound changes,such as privacy pres-ervation for data fusion,context-aware search intention comprehending and statistic search pattern.The issues of secure-efficient search and privacy-preserving for big data were studied and looked ahead.Firstly,three chief scien-tific problems were refined from the aspects of multi-source data publication,awareness of users’ search require-ments and privacy-aware wise solutions,respectively.Secondly,main research contents were proposed,including big data oriented information fusion and knowledge extraction,granular knowledge representation and inference,interactive representation of search task,user experience driven task management,granular search pattern balancing utility with cost,and secure search mechanism based on differential privacy.Lastly,several promising techniques in future were discussed.

Key words: big data, secure search, privacy preservation, multi-source information fusion

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