信息网络安全 ›› 2015, Vol. 15 ›› Issue (4): 28-35.doi: 10.3969/j.issn.1671-1122.2015.04.005

• 技术研究 • 上一篇    下一篇

基于速度动态差异的位置服务匿名算法

王勇, 高诗梦, 聂肖, 张俊浩   

  1. 电子科技大学计算机科学与工程学院,四川成都 611731
  • 收稿日期:2015-03-13 出版日期:2015-04-10 发布日期:2018-07-16
  • 作者简介:

    作者简介: 王勇(1976-),男,四川,副教授,博士,主要研究方向:网络信息安全;高诗梦(1991-),女,黑龙江,硕士研究生,主要研究方向:网络信息安全;聂肖(1991-),男,安徽,硕士研究生,主要研究方向:网络信息安全;张俊浩(1992-),男,四川,硕士研究生,主要研究方向:网络信息安全。

  • 基金资助:
    国家自然科学基金联合基金[U1230106]

A LBSs Cloaking Algorithm Based on Velocity Dynamic Variation

WANG Yong, GAO Shi-meng, NIE Xiao, ZHANG Jun-hao   

  1. Department of Computer Science and Engineering, University of Electronic and Science Technology Chengdu Sichuan 611731, China
  • Received:2015-03-13 Online:2015-04-10 Published:2018-07-16

摘要:

随着基于位置服务应用的日益流行,其潜在的用户隐私泄露问题也成为制约其发展的一大挑战。用户位置数据的泄露,可能导致与用户生活相关的活动、住址等隐私信息泄露,隐私问题成为位置服务中人们普遍关注的热门话题。尤其是在连续查询场景下,查询间存在着密切的联系,这就使得用户的隐私面临更大的威胁。针对这一问题,文章提出了一种连续查询下的隐私保护算法,称为基于速度的动态匿名算法(V-DCA)。在匿名处理时,考虑了用户的运动特征和趋势,也就是速度和加速度,并且利用历史匿名集合来产生新的匿名集合,在抵御查询跟踪攻击、保护隐私的同时提供了良好的服务质量。文章设计了一种连续查询隐私保护算法——基于速度的动态匿名算法(V-DCA),将用户的速度、加速度作为匿名条件之一,有效地平衡了隐私和服务质量;为了评价匿名算法,分别从隐私保障、服务质量和匿名时间3个方面提出了多个度量指标;通过在真实地图及相同环境下与其他匿名算法进行比较实验,验证了V-DCA在隐私保障、服务质量和响应时间方面的良好表现。

关键词: 基于位置的服务, 隐私保护, 基于速度的动态匿名算法

Abstract:

With the extensive development of location-based services (LBSs), the potential threats to users’ privacy information have become one of the biggest challenges. With the disclosing of users’ location data, the related privacy such as users’ activities, living address may be leaked to others. Privacy issue becomes the most concerns in LBS application scenarios. Especially for continuous LBS queries, the correlations of users’ location data make it much easier to expose their privacy information. Hence, in this paper, we propose a novel privacy preserving algorithm, namely, velocity-based dynamic cloaking algorithm (V-DCA), for continuous LBS queries. V-DCA considers users’ moving properties and trends, including velocity and acceleration similarity while performing cloaking. Moreover, V-DCA utilizes the previous cloaked sets to generate current set, and provides users’ location privacy guarantees against users tracking attack while reserve their quality of service (QoS). The main contributions of this paper are as follows: we propose a novel algorithm V-DCA for continuous LBS queries, which considers users’ velocity and acceleration similarity and is balanced between privacy preserving and QoS reserving; we define the evaluation metrics to measure its performance including privacy guarantee, cloaking time, and QoS; we evaluate the algorithm in real geographic data set environment and compare its performance with other cloaking algorithms, which shows V-DCA effectiveness in continuous LBS query application scenarios.

Key words: location-based services (LBSs), privacy preservation, V-DCA

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