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就 PI 在两个 NSF 资助的研究项目中开发的隐私保护基于位置的服务 (LBS) 技术的商业化可行性做出明确的实施/不实施决定。如果做出有利的决定,该项目还将制定商业化过渡计划和移动应用程序,用于向潜在合作伙伴展示保护隐私的基于位置服务(LBS)技术。 LBS 在网络上广泛流行,但也引发了隐私问题,围绕移动设备中无意中收集位置数据的负面宣传就证明了这一点。 PI 的隐私保护技术可在不侵犯用户隐私的情况下实现 LBS。具体来说,这些技术保护两种类型的隐私:(1)位置隐私——即团队阻止LBS服务器了解用户的真实位置; (2) 查询隐私 - 即团队阻止 LBS 服务器了解用户正在搜索的内容(例如酒吧、博物馆)。同时,这些技术通过向用户提供极其准确(如果不是精确的话)的 LBS 查询答案来保持 LBS 的质量。该项目将有可能对国家高科技产业产生更广泛的影响。许多对安全敏感的公司、政府和安全机构都需要能够控制何时(以及是否)向 LBS 服务器披露员工的位置。同样,除了 LBS 提供商和无线运营商之外,经过经验验证的保护移动设备普通用户位置隐私的方法将使整个无线用户社区受益。该项目也将对移动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 应用程序预计将提高无线用户对 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/或许可所提议的技术)。该项目的更广泛影响也延伸到研究界和学术界。特别是,该项目中进行的市场研究将增强科学和技术对位置隐私问题的理解。
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
Complex biophysical changes and reduced neuronal firing in an SCN8A variant associated with developmental delay and epilepsy
SCN8A 变异体中复杂的生物物理变化和神经元放电减少与发育迟缓和癫痫相关
- DOI:
10.1101/2023.12.04.569940 - 发表时间:
2023-12-08 - 期刊:
- 影响因子:0
- 作者:
Shir Quinn;Nan Zhang;Timothy A. Fenton;Marina Brusel;Preethi Muruganandam;Yoav Peleg;Moshe Giladi;Y. Haitin;Holger Lerche;H. Bassan;Yuanyuan Liu;Roy Ben;Moran Rubinstein - 通讯作者:
Moran Rubinstein
Colorimetric detection of cephradine in pharmaceutical formulations via fluorosurfactant-capped gold nanoparticles.
通过含氟表面活性剂封端的金纳米粒子对药物制剂中的头孢拉定进行比色检测。
- DOI:
10.1016/j.talanta.2010.01.006 - 发表时间:
2010-04-15 - 期刊:
- 影响因子:6.1
- 作者:
Chao Lu;Nan Zhang;Jinge Li;Qianqian Li - 通讯作者:
Qianqian Li
FaMeSumm: Investigating and Improving Faithfulness of Medical Summarization
FaMeSumm:研究和提高医学总结的可信度
- DOI:
10.48550/arxiv.2311.02271 - 发表时间:
2023-11-03 - 期刊:
- 影响因子:0
- 作者:
Nan Zhang;Yusen Zhang;Wu Guo;P. Mitra;Rui Zhang - 通讯作者:
Rui Zhang
Research progress and prospect of environmental, social and governance: A systematic literature review and bibliometric analysis
环境、社会与治理研究进展与展望:系统文献综述与文献计量分析
- DOI:
10.1016/j.jclepro.2024.141489 - 发表时间:
2024-02-01 - 期刊:
- 影响因子:11.1
- 作者:
Nan Zhang;Siyi Wang - 通讯作者:
Siyi Wang
Characteristics of the human arm based on a musculoskeletal model of cooperative motion between two humans
基于两个人之间协作运动的肌肉骨骼模型的人类手臂的特征
- DOI:
- 发表时间:
2008 - 期刊:
- 影响因子:0
- 作者:
Nan Zhang; Ryojun Ikeura; Yuanzin Wang;Kazuki Mizutani; Hideki Sawai - 通讯作者:
Hideki Sawai
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:
0852674 - 财政年份:2008
- 资助金额:
$ 5万 - 项目类别:
Continuing Grant
Collaborative Research: WN: Proper Location Identification in Wireless Networks
合作研究:WN:无线网络中的正确位置识别
- 批准号:
0852673 - 财政年份:2008
- 资助金额:
$ 5万 - 项目类别:
Continuing Grant
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