基于多边缘服务器的个性化搜索隐私保护方法

张强; 王国军; 张少波

doi:10.11959/j.issn.1000-436x.2019024

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基于多边缘服务器的个性化搜索隐私保护方法

学术论文 | 更新时间：2024-06-05

- 基于多边缘服务器的个性化搜索隐私保护方法
- Method of privacy protection based on multiple edge servers in personalized search
- 通信学报 2019年40卷第2期页码：40-50
- 作者机构：
  
  1. 中南大学信息科学与工程学院，湖南长沙 410083
  2. 广州大学计算机科学与网络工程学院，广东广州 510006
  3. 湖南科技大学计算机科学与工程学院，湖南湘潭 411201
- 作者简介：
  
  [ "张强（1988- ），男，湖南湘乡人，中南大学博士生，主要研究方向为个性化搜索、可信计算、云安全、隐私保护、大数据等。" ]
  [ "王国军（1970- ），男，湖南长沙人，博士，广州大学博士生导师，主要研究方向为信息安全、可信计算、净室计算、信任推荐等。" ]
  [ "张少波（1979- ），男，湖南邵东人，博士，湖南科技大学讲师，主要研究方向为移动社交网络隐私保护、云计算安全、大数据安全和隐私等。" ]
- 基金信息：
  
  国家自然科学基金资助项目(61632009);国家自然科学基金资助项目(61472451);广东省自然科学基金资助项目(2017A030308006);广东省高等教育高层次人才基金资助项目(2016ZJ01);中南大学中央高校基本科研业务费专项基金资助项目(2017zzts141)
- DOI：10.11959/j.issn.1000-436x.2019024
  中图分类号： TP391
- 网络首发：2019-02，
  
  纸质出版：2019-02-25
- 稿件说明：
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张强, 王国军, 张少波. 基于多边缘服务器的个性化搜索隐私保护方法[J]. 通信学报, 2019,40(2):40-50.

Qiang ZHANG, Guojun WANG, Shaobo ZHANG. Method of privacy protection based on multiple edge servers in personalized search[J]. Journal on Communications, 2019, 40(2): 40-50.
张强, 王国军, 张少波. 基于多边缘服务器的个性化搜索隐私保护方法[J]. 通信学报, 2019,40(2):40-50. DOI： 10.11959/j.issn.1000-436x.2019024.

Qiang ZHANG, Guojun WANG, Shaobo ZHANG. Method of privacy protection based on multiple edge servers in personalized search[J]. Journal on Communications, 2019, 40(2): 40-50. DOI： 10.11959/j.issn.1000-436x.2019024.

摘要

在明文环境下根据用户的兴趣模型以及查询关键词能够获得用户个性化的搜索结果会导致敏感数据和用户隐私信息的泄露，不利于含有敏感数据的云搜索服务的推广，鉴于此，数据通常以密文的形式存储在云服务器中。用户在使用云搜索服务时，希望在海量的密文中快速地获得自己想要的搜索结果。为了解决这一问题，在个性化搜索中提出了一种基于多边缘服务器的隐私保护方法，该方法通过引入多个边缘服务器，并通过切割索引与查询矩阵，实现了在边缘服务器上计算部分用户查询与部分文件索引之间的相关性得分，云服务器只需要将边缘服务器上得到的相关性得分做简单处理即能返回与用户查询最相关的前K个文件，使其特别适用于大量用户在海量密文中的个性化搜索。安全分析和实验结果表明，该方法能很好地保护用户的隐私以及数据的机密性，并具有高效的搜索效率，能为用户提供了更好的个性化搜索体验。

Abstract

In the plaintext environment

users' personalized search results can be obtained through users' interest model and query keywords.However

it may possibly result in the disclosure of sensitive data and privacy

which prevents using sensitive data in cloud search.Therefore

data is generally stored in the form of ciphertext in the cloud server.In the process of cloud search service

users intend to quickly obtain the desired search results from the vast amount of ciphertext.In order to solve the problem

it was proposed that a method of privacy protection based on multiple edge servers in personalized search shall be used.By introducing multiple edge servers and cutting the index as well as the query matrix

the computing relevance scores of partial query and partial file index are achieved on the edge server.The cloud server only needs to get the relevance score on the edge server and make a simple processing that can return to the most relevant Top K files by user query

so as to make it particularly suitable for a large number of users in the massive personalized ciphertext search.Security analysis and experimental results show that this method can effectively protect users’ privacy and data confidentiality.In addition

it can guarantee high efficiency in search to provide better personalized search experience.

关键词

Keywords

references

TANG J , CUI Y , LI Q , et al . Ensuring security and privacy preservation for cloud data services [J ] . Acm Computing Surveys , 2016 , 49 ( 1 ): 1 - 39 .

SONG D X , WAGNER D , PERRIG A . Practical techniques for searches on encrypted data [C ] // IEEE Symposium on Security ＆ Privacy . 2002 : 44 - 55 .

LI H W , LIU D X , DAI Y S , et al . Engineering searchable encryption of mobile cloud networks:when QoE meets QoP [J ] . IEEE Wireless Communications , 2015 , 22 ( 4 ): 74 - 80 .

CHANG Y C , MITZENMACHER M . Privacy preserving keyword searches on remote encrypted data [C ] // International Conference on Applied Cryptography and Network Security . 2005 : 442 - 455 .

CURTMOLA R , GARAY J , KAMARA S , et al . Searchable symmetric encryption:improved definitions and efficient constructions [J ] . Journal of Computer Security , 2011 , 19 ( 5 ): 895 - 934 .

DAN B , CRESCENZO G D , OSTROVSKY R , et al . Public key encryption with keyword search [C ] // International Conference on the Theory and Applications of Cryptographic Techniques . 2004 : 506 - 522 .

李经纬 , 贾春福 , 刘哲理 , 等 . 可搜索加密技术研究综述 [J ] . 软件学报 , 2015 , 26 ( 1 ): 109 - 128 .

LI J W , JIA C F , LIU Z L , et al . Survey on the searchable encryption [J ] . Journal of Software , 2015 , 26 ( 1 ): 109 - 128 .

CUI J , ZHOU H , ZHONG H , et al . AKSER:attribute-based keyword search with efficient revocation in cloud computing [J ] . Information Sciences , 2017 , 423 : 343 - 352 .

ZHAO F , YAN F W , JIN H , et al . Personalized mobile searching approach based on combining content-based filtering and collaborative filtering [J ] . IEEE Systems Journal , 2017 , 11 ( 1 ): 324 - 332 .

LEUNG W T , LEE D L , LEE W C . PMSE:a personalized mobile search engine [J ] . IEEE Transactions on Knowledge ＆ Data Engineering , 2013 , 25 ( 4 ): 820 - 834 .

FU Z J , REN K , SHU J G , et al . Enabling personalized search over encrypted outsourced data with efficiency improvement [J ] . IEEE Transactions on Parallel ＆ Distributed Systems , 2016 , 27 ( 9 ): 2546 - 2559 .

FU Z J , WU X L , WANG Q , et al . Enabling central keyword-based semantic extension search over encrypted outsourced data [J ] . IEEE Transactions on Information Forensics ＆ Security , 2017 , 12 ( 12 ): 2986 - 2997 .

ALHABASHNEH O , IQBAL R , DOCTOR F , et al . Fuzzy rule based profiling approach for enterprise information seeking and retrieval [J ] . Information Sciences , 2017 ,( 394-395 ): 18 - 37 .

ZHANG Q , WANG G J , LIU Q . Enabling cooperative privacy-preserving personalized search in cloud environments [J ] . Information Sciences , 2019 , 480 : 1 - 13 .

WONG W K , CHEUNG W L , KAO B , et al . Secure kNN computation on encrypted databases [C ] // ACM SIGMOD International Conference on Management of Data . 2009 : 139 - 152 .

张强 , 王国军 . 个性化搜索中一种基于位置服务的隐私保护方法 [J ] . 电子与信息学报 , 2018 , 40 ( 8 ): 1998 - 2005 .

ZHANG Q , WANG G J . Privacy preserving method based on location service in personalized search [J ] . Journal of Electronics ＆ Information Technology , 2018 , 40 ( 8 ): 1998 - 2005 .

DU Q , XIE H R , CAI Y , et al . Folksonomy-based personalized search by hybrid user profiles in multiple levels [J ] . Neurocomputing , 2016 , 204 ( C ): 142 - 152 .

MILLER G A , . WordNet:a lexical database for english [C ] // Communications of the ACM . 1995 , 2 ( 11 ): 39 - 41 .

D’ORAZIO C J , CHOO K K R . A technique to circumvent SSL/TLS validations on iOS devices [J ] . Future Generation Computer Systems , 2017 , 74 : 366 - 374 .

OPPLIGER R , HAUSER R , BASIN D . SSL/TLS session-aware user authentication [J ] . Computers ＆ Security , 2008 , 27 ( 3-4 ): 64 - 70 .

LUO E T , LIU Q , ABAWAJY J H , et al . Privacy-preserving multi-hop profile-matching protocol for proximity mobile social networks [J ] . Future Generation Computer Systems , 2017 , 68 : 222 - 233 .

ZHANG Q , LIU Q , WANG G J . PRMS:A personalized mobile search over encrypted outsourced data [J ] . IEEE Access , 2018 , 6 : 31541 - 31552 .

吴志强 , 李肯立 , 郑蕙 . 高效可扩展的对称密文检索架构 [J ] . 通信学报 , 2017 , 38 ( 8 ): 79 - 93 .

WU Z Q , LI K L , ZHENG H . Efficient and scalable architecture for searchable symmetric encryption [J ] . Journal on Communications , 2017 , 38 ( 8 ): 79 - 93 .

GOSMAN C , CORNEA T , DOBRE C , et al . Controlling and filtering users data in intelligent transportation system [J ] . Future Generation Computer Systems , 2016 , 78 : 807 - 816 .

WANG T , LI Y , CHEN Y , et al . Fog-based evaluation approach for trustworthy communication in sensor-cloud system [J ] . IEEE Communications Letters , 2017 , 21 ( 11 ): 2532 - 2535 .

CAO N , WANG C , LI M , et al . Privacy-preserving multi-keyword ranked search over encrypted cloud data [J ] . IEEE Transactions on Parallel ＆ Distributed systems , 2014 , 25 ( 1 ): 222 - 233 .

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