I-Corps: iCloak: Privacy Preserving Individual Location Sharing
I-Corps:iCloak:隐私保护个人位置共享
基本信息
- 批准号:1619679
- 负责人:
- 金额:$ 5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-01-01 至 2017-03-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
As location information is frequently used for location based applications, mobile users' fear of privacy breach continues to escalate. Current mobile operating systems only provide users with minimal access control, either to block or allow location access, which are ineffective and inefficient in mitigating the privacy threats. Customers are forced to give up their location privacy in exchange for use of location based services or give up location based services in order to protect their location. In this project, the I-Corps team investigates and implements a new customizable and rigorous privacy mechanism (app) which allows mobile users to share a cloaked (approximate) location without deteriorating its utility for location based applications. The proposed technology provides mobile users an easy way to customize their privacy settings, such as when and where to share locations with what precision. In this way, mobile users will benefit from privacy-preserving location sharing with added functionalities of location-based recommendations and social networking. Location service providers and smartphone manufacturers can also integrate this privacy-preserving technique to enhance the privacy protection for users.The proposed mechanism (app) provides a rigorous and customizable privacy framework for users to share their locations with other third parties (e.g. location based service providers, or other users in location based social networks). The privacy guarantee is based on differential privacy, the state-of-art framework for privacy protection, which ensures that even given the knowledge of the user's moving patterns or all possible locations where the user may appear, an attacker still cannot figure out the true location of the user. The cloaked location, on the other hand, also guarantees optimal utility (minimal error) for location based applications, e.g., finding nearest restaurants or friends. In addition, with a user's historical locations, the proposed mechanism can also make personalized location based recommendations according to the user's moving pattern and interest of friends. The project promises significant broader impacts on enabling location based applications with privacy protection for mobile users.
随着位置信息频繁地用于基于位置的应用,移动的用户对隐私泄露的恐惧持续升级。当前的移动的操作系统仅向用户提供最小的访问控制,以阻止或允许位置访问,这在减轻隐私威胁方面是无效且低效的。 客户被迫放弃他们的位置隐私以换取使用基于位置的服务,或者放弃基于位置的服务以保护他们的位置。 在这个项目中,I-Corps团队研究并实现了一个新的可定制的和严格的隐私机制(应用程序),它允许移动的用户共享一个隐藏的(近似的)位置,而不会降低其效用的位置为基础的应用程序。 所提出的技术为移动的用户提供了一种自定义其隐私设置的简单方法,例如何时何地以何种精度共享位置。 通过这种方式,移动的用户将受益于隐私保护位置共享以及基于位置的推荐和社交网络的附加功能。位置服务提供商和智能手机制造商也可以集成这种隐私保护技术,以加强对用户的隐私保护。所提出的机制(应用程序)为用户提供了一个严格的和可定制的隐私框架,以与其他第三方(例如,基于位置的服务提供商,或基于位置的社交网络中的其他用户)共享他们的位置。 隐私保证基于差分隐私,这是最先进的隐私保护框架,它确保即使知道用户的移动模式或用户可能出现的所有可能位置,攻击者仍然无法找出用户的真实位置。另一方面,隐藏的位置还保证了基于位置的应用的最佳效用(最小误差),例如,寻找最近的餐馆或朋友。此外,利用用户的历史位置,该机制还可以根据用户的移动模式和朋友的兴趣做出个性化的基于位置的推荐。 该项目有望对移动的用户实现具有隐私保护的基于位置的应用程序产生更广泛的影响。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Li Xiong其他文献
A New Method for Identifying Essential Proteins by Measuring Co-Expression and Functional Similarity
通过测量共表达和功能相似性来识别必需蛋白质的新方法
- DOI:
10.1109/tnb.2016.2625460 - 发表时间:
2016-11 - 期刊:
- 影响因子:3.9
- 作者:
Zhang Wei;Xu Jia;Li Xiong;Zou Xiufen - 通讯作者:
Zou Xiufen
Periodic solutions of semilinear Duffing equations with impulsive effects
具有脉冲效应的半线性Duffing方程的周期解
- DOI:
10.1016/j.jmaa.2018.07.008 - 发表时间:
2017-05 - 期刊:
- 影响因子:1.3
- 作者:
Niu Yanmin;Li Xiong - 通讯作者:
Li Xiong
Zebrafish phd3 Negatively Regulates Antiviral Responses via Suppression of Irf7 Transactivity Independent of Its Prolyl Hydroxylase Activity.
斑马鱼 phd3 通过抑制 Irf7 反式活性来负调节抗病毒反应,而与其脯氨酰羟化酶活性无关。
- DOI:
10.4049/jimmunol.1900902 - 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Yu Guangqing;Li Xiong;Zhou Ziwen;Tang Jinhua;Wang Jing;Liu Xing;Fan Sijia;Ouyang Gang;Xiao Wuhan - 通讯作者:
Xiao Wuhan
Secure Similarity Queries: Enabling Precision Medicine with Privacy
安全相似性查询:通过隐私实现精准医学
- DOI:
- 发表时间:
2015 - 期刊:
- 影响因子:0
- 作者:
Jinfei Liu;Li Xiong - 通讯作者:
Li Xiong
A Tag SNP Selection Method Based on Haplotype Recognition
一种基于单倍型识别的标签SNP选择方法
- DOI:
10.1166/jctn.2014.3667 - 发表时间:
2014-12 - 期刊:
- 影响因子:0
- 作者:
Cao Zhi;Li Xiong;Chen Juan;Ligangcheng - 通讯作者:
Ligangcheng
Li Xiong的其他文献
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{{ truncateString('Li Xiong', 18)}}的其他基金
NSF Student Travel Support for 2022 ACM International Conference on Information and Management (CIKM)
NSF 学生参加 2022 年 ACM 国际信息与管理会议 (CIKM) 的旅行支持
- 批准号:
2232829 - 财政年份:2022
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
Collaborative Research: SaTC: CORE: Medium: PREMED: Privacy-Preserving and Robust Computational Phenotyping using Multisite EHR Data
合作研究:SaTC:核心:中:PREMED:使用多站点 EHR 数据的隐私保护和鲁棒计算表型分析
- 批准号:
2124104 - 财政年份:2021
- 资助金额:
$ 5万 - 项目类别:
Continuing Grant
SCC-IRG JST: Hyperlocal Risk Monitoring and Pandemic Preparedness through Privacy-Enhanced Mobility and Social Interactions Analysis
SCC-IRG JST:通过隐私增强的移动性和社交互动分析进行超本地风险监控和流行病防范
- 批准号:
2125530 - 财政年份:2021
- 资助金额:
$ 5万 - 项目类别:
Continuing Grant
SCC-PG: JST: Privacy-enhanced data-driven health monitoring for smart and connected senior communities
SCC-PG:JST:针对智能互联老年社区的隐私增强型数据驱动健康监测
- 批准号:
1952192 - 财政年份:2020
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
RAPID: Collaborative: REACT: Real-time Contact Tracing and Risk Monitoring via Privacy-enhanced Mobile Tracking
RAPID:协作:REACT:通过隐私增强型移动跟踪进行实时接触者追踪和风险监控
- 批准号:
2027783 - 财政年份:2020
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
TWC: Small: Rigorous and Customizable Spatiotemporal Privacy for Location Based Applications
TWC:小型:基于位置的应用程序的严格且可定制的时空隐私
- 批准号:
1618932 - 财政年份:2016
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
TC: Small: Adaptive Differentially Private Data Release
TC:小型:自适应差分隐私数据发布
- 批准号:
1117763 - 财政年份:2011
- 资助金额:
$ 5万 - 项目类别:
Standard Grant