TC: Small: Location-Privacy Protection for Mobile Handset Users

TC:小型:手机用户的位置隐私保护

基本信息

项目摘要

Increasing use of smartphones and location-based services (LBSs) for their on- and off-job functions will likely entice users to reveal their location and movement information, which may be exploited by adversaries to infer the Points of Interest (POIs) they visit, and hence their privacy information. To protect mobile users' location privacy, this project will first improve the understanding of emerging threats and attacks against their location privacy. With this understanding, it will then develop, implement, and evaluate an efficient and effective framework, called the Location Information ScrAmbler (LISA), that adjusts uncertainty in a user's location, thereby removing -- or significantly weakening -- the distinguishability of the POIs s/he may visit. This project has intellectual merit as follows. By protecting location privacy locally on each mobile user's device, LISA will not rely on trusted third-party servers commonly required by existing approaches; this removes single-point-of-failure vulnerabilities and facilitates its implementation and deployment. Moreover, since energy-efficiency is the most critical requirement for energy-deficient mobile devices, this project will develop ways of making a trade-off between location privacy and energy consumption to adaptively achieve a balance between privacy protection and energy consumption. At present, location privacy is a very subjective concept with widely-varying definitions. To advance the understanding of, and develop effective measures for location privacy and protection, this project consists of (1) formal definition of location privacy based on the notion of m-unobservability; (2) collection of real-world traces of human and vehicle mobility pattern, and development of different mobility and tracking models by analyzing the traces; (3) optimization of the trade-off between the level of a mobile user's location privacy and energy consumption by the mobile user's device; (4) adaptive configuration of the location-privacy requirements according to the user's preference and situation so as to optimize energy consumption; (5) augmentation of users' mobile devices with LISA to protect their location privacy without requiring any trusted third-party server that most existing approaches rely on; (6) comprehensive field experiments to evaluate the efficacy and efficiency of LISA by implementing and deploying it to 20 some volunteers' smartphones. This research will also make broader impacts by improving both the security and productivity of a rapidly-growing number of people who use smartphones and LBSs for their daily functions. The proposed integration of research, outreach, and education activities will have social and educational impacts on the security research and industry communities, protecting mobile users' privacy, increasing the awareness of mobile service and network security, and developing skilled human resources.
越来越多的智能手机和基于位置的服务(LBS)用于其工作和非工作功能,可能会诱使用户透露他们的位置和移动信息,这些信息可能会被对手利用来推断他们访问的兴趣点(POI),从而推断他们的隐私信息。为了保护移动的用户的位置隐私,该项目将首先提高对针对其位置隐私的新兴威胁和攻击的理解。有了这种理解,它将开发,实施和评估一个高效和有效的框架,称为位置信息ScrAmbler(丽莎),它可以调整用户位置的不确定性,从而消除或显著削弱他/她可能访问的POI的可识别性。该项目具有以下智力价值。通过在每个移动的用户的设备上本地保护位置隐私,丽莎将不依赖于现有方法通常需要的可信第三方服务器;这消除了单点故障漏洞,并促进了其实施和部署。此外,由于能源效率是能源缺乏的移动的设备的最关键的要求,本项目将开发的方法,使位置隐私和能源消耗之间的权衡,以适应性地实现隐私保护和能源消耗之间的平衡。目前,位置隐私是一个非常主观的概念,有各种各样的定义。为了加深对位置隐私的理解,并制定有效的位置隐私保护措施,本项目包括:(1)基于m-不可观测性的概念对位置隐私进行正式定义;(2)收集真实世界中人和车辆移动模式的轨迹,并通过分析轨迹开发不同的移动和跟踪模型;(3)优化移动的用户的位置隐私级别与移动的用户的设备的能量消耗之间的权衡;(4)根据用户的偏好和情况自适应地配置位置隐私要求,以便优化能量消耗;(5)使用丽莎增强用户的移动的设备以保护他们的位置隐私,而不需要大多数现有方法所依赖的任何可信的第三方服务器;(6)通过将LISA实施和部署到20个志愿者的智能手机上来评估LISA的功效和效率的全面现场实验。这项研究还将通过提高快速增长的使用智能手机和LBS进行日常功能的人的安全性和生产力来产生更广泛的影响。拟议的研究、推广和教育活动的整合将对安全研究和行业社区产生社会和教育影响,保护移动的用户的隐私,提高对移动的服务和网络安全的认识,并培养熟练的人力资源。

项目成果

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Kang Shin其他文献

Compliant control of robotic manipulators with resolved acceleration
具有解析加速度的机器人操纵器的合规控制
Suboptimal control of industrial manipulators with a weighted minimum time-fuel criterion
具有加权最小时间燃料准则的工业机械手的次优控制
Analytic evaluation of contention protocols used in distributed real-time systems
  • DOI:
    10.1007/bf01094173
  • 发表时间:
    1995-07-01
  • 期刊:
  • 影响因子:
    1.300
  • 作者:
    Kang Shin;Chao-Ju Hou
  • 通讯作者:
    Chao-Ju Hou

Kang Shin的其他文献

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{{ truncateString('Kang Shin', 18)}}的其他基金

Collaborative Research: SaTC: CORE: Medium: Securing Interactions between Driver and Vehicle Using Batteries
合作研究:SaTC:核心:中:使用电池确保驾驶员和车辆之间的交互安全
  • 批准号:
    2245223
  • 财政年份:
    2023
  • 资助金额:
    $ 49.98万
  • 项目类别:
    Continuing Grant
CPS:Small: Imposing Recovery Period for Battery Health Monitoring, Prognosis, and Optimization
CPS:Small:为电池健康监测、预测和优化施加恢复期
  • 批准号:
    1739577
  • 财政年份:
    2017
  • 资助金额:
    $ 49.98万
  • 项目类别:
    Standard Grant
CPS: Breakthrough: Secure Interactions with Internet of Things
CPS:突破:与物联网的安全交互
  • 批准号:
    1646130
  • 财政年份:
    2016
  • 资助金额:
    $ 49.98万
  • 项目类别:
    Continuing Grant
CPS: Synergy: Adaptive Management of Large Energy Storage Systems for Vehicle Electrification
CPS:协同:车辆电气化大型储能系统的自适应管理
  • 批准号:
    1446117
  • 财政年份:
    2015
  • 资助金额:
    $ 49.98万
  • 项目类别:
    Standard Grant
Synergy: Collaborative: Security and Privacy-Aware Cyber-Physical Systems
协同:协作:安全和隐私意识的网络物理系统
  • 批准号:
    1505785
  • 财政年份:
    2015
  • 资助金额:
    $ 49.98万
  • 项目类别:
    Continuing Grant
NeTS: Small: Collaborative Research: Efficient Spectrum Access for Gbps WLANs in a Crowd of Legacy Networks
NeTS:小型:协作研究:在众多传统网络中实现 Gbps WLAN 的高效频谱接入
  • 批准号:
    1317411
  • 财政年份:
    2013
  • 资助金额:
    $ 49.98万
  • 项目类别:
    Standard Grant
CPS: Synergy: Collaborative Research: Thermal-Aware Management of Cyber-Physical Systems
CPS:协同:协作研究:网络物理系统的热感知管理
  • 批准号:
    1329702
  • 财政年份:
    2013
  • 资助金额:
    $ 49.98万
  • 项目类别:
    Standard Grant
NeTS: Medium: Collaborative Research: Enabling Cellular Services over Unplanned Femto-Cell Deployments: From Theory to Implementation
NeTS:媒介:协作研究:在计划外的 Femto-Cell 部署上实现蜂窝服务:从理论到实施
  • 批准号:
    1160775
  • 财政年份:
    2012
  • 资助金额:
    $ 49.98万
  • 项目类别:
    Standard Grant
EAGER: SmartGreen: An Adaptive Architecture for Management of Large Energy Storage Systems
EAGER:SmartGreen:大型储能系统管理的自适应架构
  • 批准号:
    1138200
  • 财政年份:
    2011
  • 资助金额:
    $ 49.98万
  • 项目类别:
    Standard Grant
TC: Medium: Self-Securing Services for Mobile Handsets
TC:中:手机的自我保护服务
  • 批准号:
    0905143
  • 财政年份:
    2010
  • 资助金额:
    $ 49.98万
  • 项目类别:
    Standard Grant

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SaTC: CORE: Small: Customizable Geo-Obfuscation to Protect Users' Location Privacy in Mobile Crowdsourcing
SaTC:核心:小型:可定制的地理混淆以保护移动众包中用户的位置隐私
  • 批准号:
    2313866
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合作研究:SaTC:核心:小:现实对抗模型下空间众包中车辆位置的隐私保护
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合作研究:SaTC:核心:小:现实对抗模型下空间众包中车辆位置的隐私保护
  • 批准号:
    2029881
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Collaborative Research: SaTC: CORE: Small: Privacy protection of Vehicles location in Spatial Crowdsourcing under realistic adversarial models
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