Location Privacy Protection Systems in Presence of Service Quality and Energy Constraints

Location Privacy Protection Systems in Presence of Service Quality and Energy Constraints
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服务质量和能源约束下的位置隐私保护系统

DOI:
10.3390/info10040121
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发表时间:
2019-04
期刊:
影响因子:
3.1
通讯作者:
Xiaolong Yang
Xiaolong Yang
中科院分区:
--
文献类型:
--
作者:
Mulugeta Kassaw Tefera;Xiaolong Yang

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基于位置的服务(lbs)通过移动设备和无线网络的广泛应用带来了许多关键的隐私挑战。为了保护用户的位置隐私,大多数现有的位置隐私保护机制(LPPMs)都会修改与不同假名关联的真实位置,这要么是资源消耗的代价,要么是服务质量的代价,或者两者兼而有之。然而,我们观察到,现有研究尚未讨论资源消耗的影响。本文在考虑服务质量和能量约束的情况下,提出了以用户为中心的抗位置推理攻击的lppm。此外,我们在现有的LPPM框架中对基于精度和基于虚拟的机制进行了建模,并扩展了适用于它们的线性规划解决方案。这项研究使我们能够指定降低暴露位置精度或生成用户虚拟位置的LPPMs。在此基础上,我们使用真实移动数据集评估了最优位置混淆函数对对手推理攻击函数的隐私保护效果。结果表明,在给定的服务质量和能量约束组合下,基于仿真的机制提供了更好的可实现位置隐私,一旦达到一定的隐私水平,基于精度的机制和基于仿真的机制都只会干扰暴露的位置。评价结果还有助于更好地理解LPPM的设计策略和评价机制,特别是在系统资源利用和服务质量要求方面。
The wide-ranging application of location-based services (LBSs) through the use of mobile devices and wireless networks has brought about many critical privacy challenges. To preserve the location privacy of users, most existing location privacy-preserving mechanisms (LPPMs) modify their real locations associated with different pseudonyms, which come at a cost either in terms of resource consumption or quality of service, or both. However, we observed that the effect of resource consumption has not been discussed in existing studies. In this paper, we present the user-centric LPPMs against location inference attacks under the consideration of both service quality and energy constraints. Moreover, we modeled the precision-based and dummy-based mechanisms in the context of an existing LPPM framework, and also extended the linear program solutions applicable to them. This study allowed us to specify the LPPMs that decreased the precision of exposed locations or generated dummy locations of the users. Based on this, we evaluated the privacy protection effects of optimal location obfuscation function against an adversary's inference attack function using real mobility datasets. The results indicate that dummy-based mechanisms provide better achievable location privacy under a given combination of service quality and energy constraints, and once a certain level of privacy is reached, both the precision-based and dummy-based mechanisms only perturb the exposed locations. The evaluation results also contribute to a better understanding for the LPPM design strategies and evaluation mechanism as far as the system resource utilization and service quality requirements are concerned.
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