CAREER: Towards Privacy-Preserving Wireless Communication: Fundamental Limits and Coding Schemes

职业：走向保护隐私的无线通信：基本限制和编码方案

基本信息

批准号：
2401373
负责人：
Remi Chou
金额：
$ 51.9万
依托单位：
University of Texas at Arlington
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2023
资助国家：
美国
起止时间：
2023-10-01 至 2026-06-30
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2401373&HistoricalAwards=false
关键词：
CAREER Towards Privacy Preserving Wireless

项目摘要

Ever-growing cyber-attacks can lead to data breaches and exposure of private user data held by third parties, including companies, government entities, or medical institutions. A possible solution to such a risk is to implement privacy-preserving protocols between users and third parties that prevent any private information disclosure in the first place. For instance, a user could prove to a third party that she holds a valid password without revealing the password. While solutions for such privacy-preserving problems exist, such solutions are poorly adapted to the open-access, noisy, bandwidth-limited, and distributed nature of wireless networks. Resorting to privacy-preserving protocols unadapted to wireless communication networks may result in suboptimal/inefficient solutions or, even worse, compromise privacy. This project addresses this challenge with a novel framework for privacy-preserving communication specifically adapted to wireless networks. The anticipated benefits are stronger privacy guarantees, improved data rates, and improved scalability, compared to traditional approaches. The project integrates an educational component in the broad field of cybersecurity under the form of i) graduate student training, ii) project- and research-oriented undergraduate student education, and iii) outreach to K-12 students.This project aims to build a comprehensive framework that will enable the fundamental understanding and design of privacy-preserving wireless communication protocols. The construction of this framework is organized around three thrusts. In the first thrust, to improve data rates and scalability, the project investigates novel building blocks for privacy-preserving protocols that incorporate wireless communication constraints and enable multiuser communication protocols. In the second thrust, the project investigates solutions to make privacy-preserving protocols robust to adversarial behaviors. For instance, legitimate protocol users could exhibit malicious behaviors, or unauthorized network users could launch wireless-specific attacks, such as eavesdropping, jamming, or man-in-the-middle attacks. In the third thrust, the project explores the construction of low-complexity wireless protocols with information-theoretic privacy guarantees via novel coding techniques from coding theory, cryptography, and deep learning.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.

不断增长的网络攻击可能导致数据泄露以及第三方（包括公司、政府实体或医疗机构）持有的私人用户数据的暴露。解决这种风险的一个可能的解决方案是在用户和第三方之间实施隐私保护协议，从一开始就防止任何私人信息泄露。例如，用户可以向第三方证明她拥有有效的密码，而无需透露密码。虽然存在针对此类隐私保护问题的解决方案，但此类解决方案很难适应无线网络的开放访问、噪声、带宽限制和分布式性质。诉诸不适合无线通信网络的隐私保护协议可能会导致解决方案次优/低效，或者更糟糕的是，损害隐私。该项目通过专门适用于无线网络的隐私保护通信新颖框架来解决这一挑战。与传统方法相比，预期的好处是更强的隐私保证、更高的数据速率和更高的可扩展性。该项目以以下形式整合了广泛的网络安全领域的教育组成部分：i) 研究生培训，ii) 以项目和研究为导向的本科生教育，以及 iii) 对 K-12 学生的推广。该项目旨在建立一个综合框架将使人们能够对隐私保护无线通信协议有基本的理解和设计。该框架的构建围绕三个主旨进行组织。第一个重点是，为了提高数据速率和可扩展性，该项目研究了隐私保护协议的新颖构建块，其中包含无线通信限制并支持多用户通信协议。在第二个重点中，该项目研究了使隐私保护协议能够抵御对抗行为的解决方案。例如，合法协议用户可能会表现出恶意行为，或者未经授权的网络用户可能会发起针对无线的攻击，例如窃听、干扰或中间人攻击。在第三个重点中，该项目探索通过编码理论、密码学和深度学习的新颖编码技术构建具有信息论隐私保证的低复杂性无线协议。该奖项反映了 NSF 的法定使命，并被认为值得支持使用基金会的智力价值和更广泛的影响审查标准进行评估。