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CRII: NeTS: Embracing Dynamic Spectrum Sharing without Privacy Concerns

CRII：NeTS：拥抱动态频谱共享，无需担心隐私问题

基本信息

批准号：
1850523
负责人：
Yanmin Gong
金额：
$ 17.5万
依托单位：
University of Texas at San Antonio
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2019
资助国家：
美国
起止时间：
2019-10-01 至 2023-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1850523&HistoricalAwards=false
关键词：
CRII NeTS Embracing Dynamic Spectrum

项目摘要

The proliferation of wireless devices and bandwidth-hungry applications has led to unprecedented demands for pervasive wireless services and made wireless spectrum a scarce resource. Dynamic spectrum sharing has been proposed to address the worldwide spectrum shortage and improve spectrum utilization. It allows secondary users to access the underutilized licensed spectrum when the incumbent users are absent. However, in such a system, abundant information needs to be collected, analyzed, and shared, which leads to serious privacy issues for the involved parties, especially for crowdsourced spectrum sensing agents and the incumbent users. This project addresses such privacy problems, relieves concerns from the involved parties, and facilitates dynamic spectrum sharing. The researcher will actively channel the research results into the development of undergraduate and graduate curricula, engage undergraduate and under-represented students into research, including outreach activities to elementary students, and improve the presence of underrepresented minorities. The goal of this project is to limit unintended exposure of private information and design privacy-preserving mechanisms in centralized dynamic spectrum sharing systems while enabling efficient spectrum sharing. The project consists of two research thrusts. The first thrust assesses the impacts of location privacy countermeasures to radio environment map construction and investigates how to mitigate the dilemma between accuracy and location privacy through a novel quality-assured radio environment map construction method. The second thrust aims to design obfuscation mechanisms to protect the operational time privacy of the incumbent users while ensuring the spectrum efficiency in spectrum allocation. The project will improve the current understanding of privacy implications in the spectrum sharing paradigm with spatial and temporal dynamism and provide insights to other wireless communication systems with similar dynamism.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

无线设备和高带宽应用的激增导致了对普及无线服务的前所未有的需求，并使无线频谱成为稀缺资源。动态频谱共享是为了解决全球范围内的频谱短缺问题，提高频谱利用率而提出的。它允许次要用户在现任用户不存在时接入未充分利用的许可频谱。然而，在这样的系统中，大量的信息需要收集，分析和共享，这导致了严重的隐私问题，为参与方，特别是众包频谱感知代理和现任用户。该项目解决了这些隐私问题，减轻了相关方的担忧，并促进了动态频谱共享。研究人员将积极将研究成果用于本科生和研究生课程的制定，让本科生和代表性不足的学生参与研究，包括对小学生的外联活动，并改善代表性不足的少数群体的存在。该项目的目标是限制私有信息的意外暴露，并在集中式动态频谱共享系统中设计隐私保护机制，同时实现高效的频谱共享。该项目包括两个研究重点。第一个推力评估的影响，位置隐私的对策，无线电环境地图建设和研究如何缓解之间的困境，准确性和位置隐私，通过一种新的质量保证的无线电环境地图建设方法。第二个目标是设计混淆机制，以保护现任用户的操作时间隐私，同时确保频谱分配的频谱效率。该项目将提高目前对频谱共享模式中空间和时间动态隐私影响的理解，并为其他具有类似动态的无线通信系统提供见解。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

期刊论文数量（12）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Geo-Indistinguishablility for Crowdsourced-Based Radio Environment Map Construction

基于众包的无线电环境地图构建的地理不可区分性

DOI：
10.1109/globecom42002.2020.9348142
发表时间：
2020
期刊：
2020 IEEE Global Communications Conference
影响因子：
0
作者：
Amin, Shahira;Li, Liang;Guo, Yuanxiong;Pan, Miao;Gong, Yanmin
通讯作者：
Gong, Yanmin

Robust Truth Discovery against Data Poisoning in Mobile Crowdsensing

DOI：
10.1109/globecom38437.2019.9013890
发表时间：
2019-12
期刊：
2019 IEEE Global Communications Conference (GLOBECOM)
影响因子：
0
作者：
Zonghao Huang;M. Pan;Yanmin Gong
通讯作者：
Zonghao Huang;M. Pan;Yanmin Gong

Targeted Poisoning Attacks on Social Recommender Systems

DOI：
10.1109/globecom38437.2019.9013539
发表时间：
2019-12
期刊：
2019 IEEE Global Communications Conference (GLOBECOM)
影响因子：
0
作者：
Rui Hu;Yuanxiong Guo;M. Pan;Yanmin Gong
通讯作者：
Rui Hu;Yuanxiong Guo;M. Pan;Yanmin Gong

Energy-Efficient Distributed Machine Learning at Wireless Edge with Device-to-Device Communication

DOI：
10.1109/icc45855.2022.9838508
发表时间：
2022-05
期刊：
ICC 2022 - IEEE International Conference on Communications
影响因子：
0
作者：
Rui Hu;Yuanxiong Guo;Yanmin Gong
通讯作者：
Rui Hu;Yuanxiong Guo;Yanmin Gong

COVID-19 Vulnerability Map Construction via Location Privacy Preserving Mobile Crowdsourcing

DOI：
10.1109/globecom42002.2020.9348141
发表时间：
2020-12
期刊：
GLOBECOM 2020 - 2020 IEEE Global Communications Conference
影响因子：
0
作者：
Rui Chen;Liang Li;Jeffrey Jiarui Chen;Ronghui Hou;Yanmin Gong;Yuanxiong Guo;M. Pan
通讯作者：
Rui Chen;Liang Li;Jeffrey Jiarui Chen;Ronghui Hou;Yanmin Gong;Yuanxiong Guo;M. Pan