I-Corps: Commercialization Feasibility Research and Demonstration Preparation for Privacy-Preserving Location Based Services
I-Corps:隐私保护位置服务的商业化可行性研究和示范准备
基本信息
- 批准号:1158737
- 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:2011
- 资助国家:美国
- 起止时间:2011-10-01 至 2013-03-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The successful completion of this project will lead to a clear go/no-go decision regarding the viability of commercializing the privacy-preserving location based services (LBS) techniques the PI developed in two NSF-sponsored research projects. Should a favorable decision be made, this project will also produce a transition plan for commercialization and a mobile application for demonstrating the privacy-preserving Location-Based-Services (LBS) technology to potential partners. LBS, are widely prevalent on the web but also raise privacy concerns, as evidenced by the negative publicity surrounding jigh-profile inadvertent collection of location data in mobile devices. The PI's privacy-preserving techniques enable LBS without violating a user?s privacy. Specifically, the techniques protect two types of privacy: (1) location privacy - i.e., the team prevents an LBS server from learning a user's real location; (2) query privacy - i.e., the team prevents the LBS server from learning what the user is searching for (e.g., bar, museum). At the same time, the echniques maintain the quality of LBS by providing the user with extremely accurate, if not precise, LBS query answers. This project will has the potential to have broader impacts on the nation?s high-tech industries. The ability to control when (and whether) an employee's location can or cannot be disclosed to an LBS server is needed by a wide variety of security-sensitive corporations, governments, and security agencies. Similarly, empirically validated means to protect the location privacy of ordinary users of mobile devices will benefit the wireless user community at large, in addition to LBS providers and wireless carriers. This project will also have broader impacts on the market of mobile LBS. In particular, the team's offering of a privacy-preserving LBS application is expected to raise wireless users' awareness of privacy issues surrounding LBS, and to eventually convince most LBS providers to add privacy-preserving features to their systems (e.g., by integrating and/or licensing the proposed techniques). The broader impact of this project also extends to the research community and academia. In particular, the market studies conducted in the project will enhance scientific and technological understanding of the location privacy problem.
该项目的成功完成将导致一个明确的去/不去决定商业化的隐私保护基于位置的服务(LBS)技术的PI在两个NSF赞助的研究项目开发的可行性。如果做出有利的决定,该项目还将制定商业化的过渡计划和移动的应用程序,以向潜在合作伙伴展示隐私保护的基于位置的服务(LBS)技术。LBS在网络上广泛流行,但也引起了隐私问题,正如围绕移动的设备中位置数据的jig-profile无意收集的负面宣传所证明的那样。PI的隐私保护技术使LBS不会侵犯用户?的隐私。具体地,这些技术保护两种类型的隐私:(1)位置隐私-即,该团队阻止LBS服务器获知用户的真实的位置;(2)查询隐私-即,团队阻止LBS服务器了解用户正在搜索什么(例如,酒吧、博物馆)。与此同时,这些技术通过为用户提供极其准确(如果不是精确的话)的LBS查询答案来保持LBS的质量。这个项目将有可能对国家产生更广泛的影响?的高科技产业。控制何时(以及是否)可以向LBS服务器披露员工位置的能力是各种安全敏感公司、政府和安全机构所需要的。类似地,除了LBS提供商和无线运营商之外,保护移动的设备的普通用户的位置隐私的经经验验证的手段将使整个无线用户社区受益。该项目也将对移动的LBS市场产生更广泛的影响。特别是,该团队提供的隐私保护LBS应用程序有望提高无线用户对LBS隐私问题的认识,并最终说服大多数LBS提供商在其系统中添加隐私保护功能(例如,通过集成和/或许可所提出的技术)。该项目的更广泛影响还延伸到研究界和学术界。特别是,在该项目中进行的市场研究将提高对位置隐私问题的科学和技术理解。
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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Nan Zhang其他文献
Efficiency of biofloc technology in suspended growth reactors treating aquacultural solid under intermittent aeration
间歇曝气下悬浮生长反应器中生物絮凝技术处理水产养殖固体的效率
- DOI:
10.1016/j.aquaeng.2014.02.001 - 发表时间:
2014-03 - 期刊:
- 影响因子:4
- 作者:
Hongxin Tan;Niannian Ma;Nan Zhang;Li Li - 通讯作者:
Li Li
Influence of tumor location on short- and long-term outcomes after laparoscopic surgery for rectal cancer: a propensity score matched cohort study
肿瘤位置对腹腔镜直肠癌手术后短期和长期结果的影响:倾向评分匹配队列研究
- DOI:
10.1186/s12885-020-07255-9 - 发表时间:
2020 - 期刊:
- 影响因子:3.8
- 作者:
Hong Yang;Zhendan Yao;Ming Cui;Jiadi Xing;Chenghai Zhang;Nan Zhang;Maoxing Liu;Kai Xu;Fei Tan;Xiangqian Su 责任作者 - 通讯作者:
Xiangqian Su 责任作者
Oncologic results in rectal cancer patients with a subcentimeter distal margin after laparoscopic-assisted sphincter-preserving surgery by stratified analysis
腹腔镜辅助保肛手术后远端切缘亚厘米直肠癌患者的肿瘤学结果分层分析
- DOI:
10.21203/rs.3.rs-26917/v1 - 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Chenghai Zhang;Hong Yang;M. Cui;J. Xing;Z. Yao;F. Tan;Nan Zhang;Lei Chen;Maoxing Liu;Kai Xu;X. Su - 通讯作者:
X. Su
Super toughened immiscible poly(L-lactide)/poly(ethylene vinyl acetate) (PLLA/EVA) blend achieved by in situ cross-linking reaction and carbon nanotubes
通过原位交联反应和碳纳米管实现超增韧不混溶聚(L-丙交酯)/聚(乙烯醋酸乙烯酯)(PLLA/EVA)共混物
- DOI:
10.1016/j.compositesa.2016.09.020 - 发表时间:
2016 - 期刊:
- 影响因子:0
- 作者:
Xiong-fei Wang;Zhen-zhen He;Jing-hui Yang;Nan Zhang;Ting Huang;Yong Wang;Zuo-wan Zhou - 通讯作者:
Zuo-wan Zhou
Simulated performance analysis of a solar aided power generation plant in fuel saving operation mode
太阳能辅助发电厂节油运行模式性能模拟分析
- DOI:
10.1016/j.energy.2018.10.014 - 发表时间:
2019 - 期刊:
- 影响因子:9
- 作者:
Nan Zhang;Hongjuan Hou;Gang Yu;Eric Hu;Liqiang Duan;Jin Zhao - 通讯作者:
Jin Zhao
Nan Zhang的其他文献
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{{ truncateString('Nan Zhang', 18)}}的其他基金
Carbon-neutral pathways of recycling marine plastic waste
回收海洋塑料废物的碳中和途径
- 批准号:
EP/X039617/1 - 财政年份:2023
- 资助金额:
$ 5万 - 项目类别:
Research Grant
FAI: Using Machine Learning to Address Structural Bias in Personnel Selection
FAI:利用机器学习解决人员选择中的结构性偏见
- 批准号:
2309853 - 财政年份:2022
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
FAI: Using Machine Learning to Address Structural Bias in Personnel Selection
FAI:利用机器学习解决人员选择中的结构性偏见
- 批准号:
2040807 - 财政年份:2021
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
The socio-economic dynamics of urbanization in China: Inequalities, child health and development
中国城市化的社会经济动态:不平等、儿童健康与发展
- 批准号:
ES/P009824/1 - 财政年份:2016
- 资助金额:
$ 5万 - 项目类别:
Fellowship
SCH: EXP: Collaborative Research: Privacy-Preserving Framework for Publishing Electronic Healthcare Records
SCH:EXP:合作研究:发布电子医疗记录的隐私保护框架
- 批准号:
1343976 - 财政年份:2014
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
SBIR Phase I: Real-Time Data Analytics Over The Deep Web
SBIR 第一阶段:深网实时数据分析
- 批准号:
1248486 - 财政年份:2013
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
TC: Small: Collaborative Research: Membership Inference in a Differentially Private World and Beyond
TC:小:协作研究:差异私人世界及其他世界中的成员资格推断
- 批准号:
1117297 - 财政年份:2011
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
III: Small: Collaborative Research: Suppressing Sensitive Aggregates Over Hidden Web Databases: a Novel and Urgent Challenge
III:小型:协作研究:抑制隐藏 Web 数据库上的敏感聚合:一项新颖而紧迫的挑战
- 批准号:
0915834 - 财政年份:2009
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
CAREER: A Theoretical Foundation for Achievability and Optimization in Privacy-Preserving Data Mining
职业:隐私保护数据挖掘的可实现性和优化的理论基础
- 批准号:
0747150 - 财政年份:2008
- 资助金额:
$ 5万 - 项目类别:
Continuing Grant
CAREER: A Theoretical Foundation for Achievability and Optimization in Privacy-Preserving Data Mining
职业:隐私保护数据挖掘的可实现性和优化的理论基础
- 批准号:
0852674 - 财政年份:2008
- 资助金额:
$ 5万 - 项目类别:
Continuing Grant
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