[1]杨 洋,王汝传.增强现实中基于LBS的矩形区域K-匿名位置隐私保护方法[J].南京师范大学学报(自然科学版),2016,39(04):0.[doi:10.3969/j.issn.1001-4616.2016.04.009]
 Yang Yang,Wang Ruchuan.Rectangular Region K-Anonymity Location PrivacyProtection Based on LBS in Augmented Reality[J].Journal of Nanjing Normal University(Natural Science Edition),2016,39(04):0.[doi:10.3969/j.issn.1001-4616.2016.04.009]
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增强现实中基于LBS的矩形区域K-匿名位置隐私保护方法()
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《南京师范大学学报》(自然科学版)[ISSN:1001-4616/CN:32-1239/N]

卷:
第39卷
期数:
2016年04期
页码:
0
栏目:
·数学与计算机科学·
出版日期:
2016-12-30

文章信息/Info

Title:
Rectangular Region K-Anonymity Location PrivacyProtection Based on LBS in Augmented Reality
文章编号:
1001-4616(2016)04-0044-06
作者:
杨 洋1王汝传23
(1.南京广播电视大学,南京城市职业学院信息技术系 江苏 南京 210002)(2.南京邮电大学计算机学院,江苏 南京 210003)(3.江苏省无线传感网络高技术研究重点实验室,江苏 南京 210003)
Author(s):
Yang Yang1Wang Ruchuan23
(1.Department of Information Technology,Nanjing Radio and TV University,Nanjing City Vocational College,Nanjing 210002,China)(2.College of Computer,Nanjing University of Posts and Telecommunications,Nanjing 210003,China)(3.Jiangsu High Technology Resear
关键词:
基于位置服务位置隐私k-匿名法矩形区域k-匿名法
Keywords:
LBSlocation privacyk-anonymityrectangular region k-anonymity
分类号:
TP391.9
DOI:
10.3969/j.issn.1001-4616.2016.04.009
文献标志码:
A
摘要:
基于位置服务(LBS)和增强现实技术快速发展的同时,促进了基于位置服务的应用范围扩大,同时也带来了用户位置隐私泄露的隐患. 因此,如何确保基于位置服务中数据的安全性,成为该项技术推广应用的关键问题. 本文借助k-匿名法,提出矩形区域k-匿名法,将k-匿名法的理念引入该方法中,实验结果表明该方法提高了相对匿名度和匿名区域面积,从而有效地保护了用户的位置隐私.
Abstract:
Rapid development of location based service(LBS)and augmented reality promote application of LBS,which also bring hidden danger of user location privacy disclosure. Therefore,how to ensure data security becomes key question in application of LBS. Here we introduced k-anonymity into privacy protection and proposed the rectangular region k-anonymity. Our results revealed that rectangular region k-anonymity enhanced relative anonymous degree and anonymous area,which could effectively protect user’s location privacy.

参考文献/References:

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相似文献/References:

[1]杨 洋,王汝传.增强现实中基于LBS的双重匿名位置隐私保护方法[J].南京师范大学学报(自然科学版),2018,41(03):42.[doi:10.3969/j.issn.1001-4616.2018.03.007]
 Yang Yang,Wang Ruchuan.Double Anonymity Location Privacy ProtectionBased on LBS in Augment Reality[J].Journal of Nanjing Normal University(Natural Science Edition),2018,41(04):42.[doi:10.3969/j.issn.1001-4616.2018.03.007]

备注/Memo

备注/Memo:
收稿日期:2016-08-26.
基金项目:国家自然科学基金(60973139、61170065、61171053)、江苏省自然科学基金(BK2011755)、江苏省科技支撑计划项目(BE2010197、BE2010198、BE2011844、BE2011189).
通讯联系人:杨洋,副教授,研究方向:网格计算、增强现实技术、位置隐私保护等. E-mail:nj.Yangyang@163.com
更新日期/Last Update: 2016-12-31