CNS Core: Small: Collaborative Research: The Interplay of Markets and Security in 5G Shared Spectrum Services

CNS 核心：小型：协作研究：5G 共享频谱服务中市场与安全的相互作用

• 批准号: 1908807
• 负责人: Randall Berry
• 金额: $ 20万
• 依托单位: Northwestern University
• 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=1908807&HistoricalAwards=false
• 关键词: CNS; Core; Small; Collaborative; Research

Efficient and secure use of shared spectrum is critical to support the demands from emerging 5G wireless applications that have potential benefits across society. This project is addressing these by considering intertwined economic and security issues in 5G wireless networks that use more flexible spectrum access paradigms, such as the recently finalized rules for the 3.5 GHz Citizens Broadband Radio Service (CBRS) band. These new paradigms will result in new market structures for providing wireless services. However, this expanded flexibility can also lead to an increase in the security vulnerabilities of wireless systems. These two issues are inherently coupled. For example, the emerging market structures can impact the security a firm can offer to its customers and the firm's willingness to develop and deploy technology to improve on this. Moreover, in many spectrum sharing paradigms there may be different types of interacting firms such as service providers, database operators, etc. The economic and technological interactions among these firms will dictate the resulting security level given to end-users. Such interactions are not well understood in general. The goal of this project is to develop a deeper understanding of the interactions between security and markets in emerging spectrum sharing paradigms, including characterizing the cost and incentives of deploying security mechanisms in market environments. Thus, the project is expected to reduce economic uncertainties tied to security issues in shared spectrum bands.The research is combining ideas from wireless networking, cyber-security and network economics in ways that have not been previously explored in the context of shared spectrum. Specific problems areas being addressed include (1) studying how wireless service providers should price and provision "security-as-a-service"; (2) understanding the market interactions of multiple wireless service providers and how different spectrum sharing approaches impact the competition and security investment incentives of the providers; (3) evaluating the impact of spatial interferences and their knock-on economic and security effects. The theoretical insights are complemented with an evaluation plan that leverages simulations and available data sets to ensure their robustness and applicability. Other broader impacts being pursued include: (1) engaging undergraduate and under-represented students; (2) developing wireless security labs; and (3) organizing workshop and tutorial sessions on the project's topic at leading conferences, to inform stakeholders from government, industry, and academia and foster interactions.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.

高效、安全地使用共享频谱对于支持新兴5G无线应用的需求至关重要，这些应用对整个社会都有潜在的好处。该项目通过考虑使用更灵活频谱接入模式的5G无线网络中交织的经济和安全问题来解决这些问题，例如最近敲定的3.5 GHz公民宽带无线电服务（CBRS）频段规则。 这些新的范例将导致提供无线服务的新的市场结构。 然而，这种扩展的灵活性也可能导致无线系统的安全漏洞增加。这两个问题是内在联系在一起的。例如，新兴市场的结构可能会影响公司向客户提供的安全性，以及公司开发和部署技术以改善这一点的意愿。此外，在许多频谱共享范例中，可能存在不同类型的交互公司，例如服务提供商、数据库运营商等。这些公司之间的经济和技术交互将决定最终用户的安全级别。 这种相互作用一般还没有得到很好的理解。该项目的目标是更深入地了解新兴频谱共享模式中安全与市场之间的相互作用，包括描述在市场环境中部署安全机制的成本和激励措施。 因此，该项目预计将减少与共享频谱频段安全问题相关的经济不确定性。该研究将无线网络，网络安全和网络经济学的思想结合在一起，这些思想以前在共享频谱的背景下没有被探索过。正在解决的具体问题领域包括（1）研究无线服务提供商应如何定价和提供“安全即服务”;（2）了解多个无线服务提供商的市场互动以及不同的频谱共享方法如何影响提供商的竞争和安全投资动机;（3）评估空间干扰的影响及其对经济和安全的连锁效应。理论见解得到了评估计划的补充，该计划利用模拟和可用数据集来确保其稳健性和适用性。其他正在追求的更广泛的影响包括：（1）吸引本科生和代表性不足的学生;（2）开发无线安全实验室;以及（3）在主要会议上组织关于项目主题的研讨会和辅导会，向来自政府，行业，该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的学术价值和更广泛的影响审查标准。

项目成果

Optimal Mechanism Design for Fresh Data Acquisition

新鲜数据采集的优化机制设计

• DOI: 10.1109/isit45174.2021.9517951
• 发表时间: 2021
• 期刊: IEEE International Symposium on Information Theory
• 作者: Zhang, Meng;Arafa, Ahmed;Wei, Ermin;Berry, Randall A.
• 通讯作者: Berry, Randall A.

Faithful Edge Federated Learning: Scalability and Privacy

• DOI: 10.1109/jsac.2021.3118423
• 发表时间: 2021-06
• 期刊: IEEE Journal on Selected Areas in Communications
• 影响因子: 16.4
• 作者: Meng Zhang;Ermin Wei;R. Berry

Market Models of Spectrum Attacks with Shared Spectrum

• DOI: 10.23919/wiopt58741.2023.10349864
• 发表时间: 2023-08
• 期刊: 2023 21st International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)
• 作者: Zongyun Xie;Randall A. Berry

Observational Learning with Fake Agents

使用假代理进行观察学习

• DOI: 10.1109/isit44484.2020.9174217
• 发表时间: 2020
• 期刊: 2020 IEEE International Symposium on Information Theory (ISIT
• 作者: Poojary, Pawan;Berry, Randall
• 通讯作者: Berry, Randall

Market Competition Between LTE-U and WiFi

LTE-U与WiFi的市场竞争

• DOI: 10.1109/tnse.2021.3052168
• 发表时间: 2021
• 期刊: IEEE Transactions on Network Science and Engineering
• 影响因子: 6.6
• 作者: Wang, Xu;A. Berry, Randall
• 通讯作者: A. Berry, Randall