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個(gè)性化搜索中一種基于位置服務(wù)的隱私保護(hù)方法

張強(qiáng) 王國軍

張強(qiáng), 王國軍. 個(gè)性化搜索中一種基于位置服務(wù)的隱私保護(hù)方法[J]. 電子與信息學(xué)報(bào), 2018, 40(8): 1998-2005. doi: 10.11999/JEIT171137
引用本文: 張強(qiáng), 王國軍. 個(gè)性化搜索中一種基于位置服務(wù)的隱私保護(hù)方法[J]. 電子與信息學(xué)報(bào), 2018, 40(8): 1998-2005. doi: 10.11999/JEIT171137
Qiang ZHANG, Guojun WANG. Privacy Preserving Method Based on Location Service in Personalized Search[J]. Journal of Electronics & Information Technology, 2018, 40(8): 1998-2005. doi: 10.11999/JEIT171137
Citation: Qiang ZHANG, Guojun WANG. Privacy Preserving Method Based on Location Service in Personalized Search[J]. Journal of Electronics & Information Technology, 2018, 40(8): 1998-2005. doi: 10.11999/JEIT171137

個(gè)性化搜索中一種基于位置服務(wù)的隱私保護(hù)方法

doi: 10.11999/JEIT171137
基金項(xiàng)目: 國家自然科學(xué)基金(61632009, 61472451),廣東省自然科學(xué)基金(2017A030308006),廣東省高等教育高層次人才計(jì)劃(2016ZJ01),中南大學(xué)中央高?;究蒲袠I(yè)務(wù)費(fèi)專項(xiàng)資金 (2017zzts141)
詳細(xì)信息
    作者簡介:

    張強(qiáng):男,1988年生,博士生,研究方向?yàn)殡[私保護(hù)、個(gè)性化搜索

    王國軍:男,1970年生,教授,博士生導(dǎo)師,研究方向?yàn)樵朴?jì)算、大數(shù)據(jù)、隱私保護(hù)

    通訊作者:

    王國軍  csgjwang@gmail.com

  • 中圖分類號: TP393

Privacy Preserving Method Based on Location Service in Personalized Search

Funds: The National Natural Science Foundation of China (61632009, 61472451), The Guangdong Provincial Natural Science Foundation (2017A030308006), The High-Level Talents Program of Higher Education in Guangdong Province (2016ZJ01), The Fundamental Research Funds for the Central Universities of Central South University (2017zzts141)
  • 摘要: 在基于位置服務(wù)的個(gè)性化搜索中,利用可信第三方服務(wù)器以及對等節(jié)點(diǎn)是保護(hù)用戶隱私的主要方法,但在現(xiàn)實(shí)生活中,它們卻是不完全可信的。為了解決這一問題,該文提出一種個(gè)性化搜索中基于位置服務(wù)的隱私保護(hù)方法。該方法通過轉(zhuǎn)換用戶的位置信息,并根據(jù)用戶的查詢類型生成用戶模型,進(jìn)而形成帶有用戶位置信息的查詢矩陣,然后利用矩陣加密用戶的查詢,隱藏查詢矩陣中的用戶信息,最后根據(jù)安全內(nèi)積計(jì)算返回相關(guān)性得分最高的前K個(gè)查詢文件給用戶。安全性分析表明該方法能有效地保護(hù)用戶的查詢隱私和位置隱私,通過分析與實(shí)驗(yàn)表明,該方法大幅度地縮短了索引構(gòu)建時(shí)間,降低了通信開銷,同時(shí)為用戶提供了基于位置的個(gè)性化搜索結(jié)果,一定程度上解決了移動設(shè)備屏幕小帶來的弊端。
  • 圖  1  基于位置服務(wù)的用戶隱私保護(hù)模型

    圖  2  基于位置服務(wù)的隱私保護(hù)方法流程

    圖  3  基于位置服務(wù)的隱私保護(hù)方法索引構(gòu)建時(shí)間模型圖

    圖  4  基于位置服務(wù)的隱私保護(hù)方法用戶模型構(gòu)建圖

    圖  5  基于位置服務(wù)的隱私保護(hù)方法查詢加密圖

    圖  6  基于位置服務(wù)的隱私保護(hù)方法索引搜索圖

    表  1  該文中的相關(guān)符號描述

    符號 描述 符號 描述
    SK 密鑰 $K$ 用戶提交的參數(shù) $K$
    ${{p}}$ 明文索引 $a$ 大于0的隨機(jī)數(shù)
    ${{I}}$ 加密后的索引 ${{R}}(i,:)$ 與第 $i$個(gè)文件的相關(guān)性得分
    $C$ 加密后的文件 ${{s}}$ 分裂指示器
    ${{q}}$ 用戶模型或用戶查詢 $h$ 字典中的總關(guān)鍵詞數(shù)
    ${{U}}$ 用戶模型 $m$ 文件數(shù)量
    ${{T}}$ 加密后的查詢矩陣 ${{G}}$ 查詢點(diǎn)的綜合評分矩陣
    $n$ 真實(shí)的關(guān)鍵詞數(shù) $t$ 隨機(jī)生成的關(guān)鍵詞數(shù)
    下載: 導(dǎo)出CSV

    表  2  索引構(gòu)建過程

    算法 索引構(gòu)建過程
    輸入: ${{G}},{{s}},m,{{M}}_1^{\rm{T}},{{M}}_2^{\rm{T}}$
    輸出: ${{I}}$
    (1) $p={\rm{diag}}({G});$
    (2) $h = n + t;$
    (3) ${{tp}} = {\rm{rand(1,1)*ones(1,}}t{\rm{);}}$
    (4) for $i = 1:m$ do
    (5)   ${{{p}}^ * }(i,:) = [{{p}}(i,:){\rm{ }}{{tp}}];$
    (6)   ${{r}} = {\rm{rand}}(1,h);$
    (7)   for $j = 1:h$ do
    (8)   if ${{s}}(j) = = 1$ then
    (9)    ${{p}}'(i,j) = {{r}}(1,j);$
    (10)    ${{p}}''(i,j) = {{{p}}^ * }(i,j) - {{p}}'(i,j);$
    (11)    else
    (12)    ${{p}}'(i,j) = {{p}}''(i,j) = {{{p}}^ * }(i,j);$
    (13)    end if
    (14)    end for
    (15) end for
    (16) ${{I}} = [{{p}}'{{M}}_1^{\rm{T}},{{p}}''{{M}}_2^{\rm{T}}]$
    (17) return ${{I}}$
    下載: 導(dǎo)出CSV
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  • 收稿日期:  2017-12-04
  • 修回日期:  2018-04-20
  • 網(wǎng)絡(luò)出版日期:  2018-06-07
  • 刊出日期:  2018-08-01

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