CRII: CNS: Security Assessment of Spectrum Coexistence in Co-located Heterogeneous Wireless IoT Networks

CRII：CNS：共置异构无线物联网网络中频谱共存的安全评估

• 批准号: 2105124
• 负责人: Moinul Hossain
• 金额: $ 17.5万
• 依托单位: Towson University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-10-01 至 2023-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2105124&HistoricalAwards=false
• 关键词: CRII; CNS; Security; Assessment; Spectrum

Today’s advancement in wireless access to telecommunication networks (e.g., Internet) is attributed to Marconi’s century-old radio design, where the radio spectrum is divided into pieces and given to different wireless technologies/entities. Though it worked for the most part of the last decade, this strategy has become a bottleneck and unable to accommodate future growth in wireless communications, especially with the introduction of Internet-of-Things (IoT). The exponentially increasing radio spectrum demand has forced us to forge new paths to improve spectrum utilization, such as network densification and coexistence among heterogeneous IoT networks on the same channel. Nonetheless, the synergy of network densification and spectrum sharing will increase the co-channel interference and lead to more complex inter-technology interactions, which require well-designed spectrum sharing mechanisms. However, designing such mechanisms is not trivial - not only due to technical aspects but also due to added security vulnerabilities. The introduction of shared spectrum access in a dense scenario drastically changes the balance among lower layers (i.e., PHY and MAC) and compels a radical change in the security protocol design. This project introduces a novel security vulnerability in coexistence among co-located heterogeneous IoT devices (e.g., LTE, Wi-Fi) and aims to develop security mechanisms to counteract the proposed attack. The project aims to ensure a fair and secure coexistence on the spectrum, contributing to the growth of future wireless technologies in many more centuries to come. In addition, this project will provide the students at Towson University with resources to pursue network security research at the undergraduate and graduate levels.This project concentrates on the unique security weaknesses created from the dense use of a shared spectrum between co-located heterogeneous IoT networks. The proposed research will take a multi-pronged approach by: (1) developing formal models based on PHY and MAC layer attributes to understand how attackers may exploit the shared spectrum access among heterogeneous networks, (2) designing a Markov decision process-based novel safeguard strategy to circumvent such attacks, and (3) developing a software-defined testbed to materialize the proposed approaches. This research will lay the groundwork for upcoming system research on spectrum coexistence.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.

当今无线接入电信网络的进步（例如，互联网）归功于马可尼的百年无线电设计，其中无线电频谱被划分为多个部分，并给予不同的无线技术/实体。尽管在过去十年的大部分时间里，这一战略都很有效，但它已成为一个瓶颈，无法适应无线通信的未来增长，特别是随着物联网（IoT）的引入。无线电频谱需求呈指数级增长，迫使我们开辟新的途径来提高频谱利用率，例如网络密度和同一信道上异构物联网网络之间的共存。然而，网络密集化和频谱共享的协同作用将增加同信道干扰，并导致更复杂的技术间交互，这需要精心设计的频谱共享机制。然而，设计这样的机制并不简单-不仅由于技术方面，而且由于增加的安全漏洞。在密集场景中引入共享频谱接入极大地改变了较低层之间的平衡（即，PHY和MAC），并迫使安全协议设计发生根本性变化。该项目在共存的异构物联网设备（例如，LTE，Wi-Fi），并旨在开发安全机制来对抗拟议的攻击。该项目旨在确保频谱上的公平和安全共存，为未来几个世纪的未来无线技术的发展做出贡献。此外，该项目还将为陶森大学的学生提供资源，以进行本科和研究生阶段的网络安全研究。该项目专注于在位于同一地点的异构物联网网络之间密集使用共享频谱所产生的独特安全弱点。拟议的研究将采取多管齐下的方法：（1）开发基于物理层和MAC层属性的正式模型，以了解攻击者如何利用异构网络之间的共享频谱接入，（2）设计一种基于马尔可夫决策过程的新型安全策略，以规避此类攻击，以及（3）开发一个软件定义的测试床，以实现所提出的方法。这项研究将为即将进行的频谱共存系统研究奠定基础。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。