EARS: Cloud-based Oblivious Spectrum Mapping and Allocation

EARS：基于云的不经意频谱映射和分配

• 批准号: 1642973
• 负责人: John Shea
• 金额: $ 40.3万
• 依托单位: University of Florida
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-10-01 至 2021-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1642973&HistoricalAwards=false
• 关键词: EARS; Cloud; based; Oblivious; Spectrum

Dynamic spectrum access (DSA) techniques offer the potential to use the radio spectrum more efficiently by allowing radios to sense which parts of the radio spectrum are not currently being used by the licensed users or other opportunistic users. However, detecting the presence of transmissions in a particular band is difficult because of randomness in the radio propagation environment and because radio signals can be received at very low power levels. Sensing the radio spectrum can be made more accurate by collecting and processing the sensing information from multiple radios. However, in combining this information, the locations and characteristics of the sensing radios may be revealed to the other radios or to various companies involved in collecting and combining the information. This research project will develop novel techniques to protect the privacy of users involved in sensing the radio spectrum as part of a DSA system. The techniques are built on top of secure computing primitives, such as garbled circuits, which uses cryptographic techniques to allow users to compute a result without any of the parties being able to know the other parties inputs to the computation. Although complete privacy is not possible in a spectrum sensing system, this project aims to develop systems that achieve k-anonymity, in which a user's location and capabilities may only be reduced to one of k possibilities. A significant challenge in developing such techniques is that many secure computing primitives require high computational complexity, and thus cannot be implemented on many DSA devices, such as future generations of cellular phones. Thus, the project will develop privacy-preserving spectrum sensing techniques that have sufficiently low complexity to be implemented on such devices. One of the approaches to achieving this is to partition the computation between the devices and a cloud-computing server. These techniques will be implemented on a software-defined radio testbed that interfaces with a commercial cloud computing resource to allow testing using real radio signals and real computing platforms.

动态频谱访问（DSA）技术通过允许收音机感觉到无线电频谱的哪些部分目前未使用许可用户或其他机会用户来更有效地使用无线电频谱。但是，由于无线电传播环境中的随机性以及可以在功率非常低的功率水平接收到无线电信号，因此很难检测特定频段中的传播。通过收集和处理来自多个无线电的传感信息，可以更准确地感知无线电频谱。但是，在结合这些信息时，可以向其他收音机或参与收集和组合信息的各种公司揭示传感无线电的位置和特征。该研究项目将开发新技术，以保护参与感知无线电频谱的用户作为DSA系统的一部分的隐私。这些技术是建立在安全计算原始图的顶部的，例如乱七八糟的电路，该电路使用加密技术允许用户计算结果，而无需任何各方能够了解计算的其他方。尽管在频谱传感系统中不可能进行完全隐私，但该项目旨在开发可实现K匿名性的系统，在该系统中，用户的位置和功能只能降低为K可能性之一。开发此类技术的一个重大挑战是，许多安全的计算原始图需要很高的计算复杂性，因此不能在许多DSA设备（例如子孙后代的蜂窝电话）上实现。因此，该项目将开发具有足够低复杂性以在此类设备上实现的足够低复杂性的频谱传感技术。实现此目的的方法之一是将设备与云计算服务器之间的计算进行分区。 这些技术将在软件定义的无线电测试台上实施，该测试与商业云计算资源接口，以允许使用真实无线电信号和真实计算平台进行测试。

项目成果

An adjacency matrix approach to delay analysis in temporal networks

• DOI: 10.1109/milcom.2017.8170866
• 发表时间: 2017-10
• 期刊: MILCOM 2017 - 2017 IEEE Military Communications Conference (MILCOM)
• 作者: J. Shea;J. Macker

Reinforcement Learning for Mixed Cooperative/Competitive Dynamic Spectrum Access

混合合作/竞争动态频谱访问的强化学习

• DOI: 10.1109/dyspan.2019.8935725
• 发表时间: 2019
• 期刊: Proceedings of the 2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN
• 作者: Bowyer, Caleb;Greene, David;Ward, Tyler;Menendez, Marco;Shea, John;Wong, Tan
• 通讯作者: Wong, Tan

A Deep Q-Learning Dynamic Spectrum Sharing Experiment

深度 Q-Learning 动态频谱共享实验

• DOI: 10.1109/icc42927.2021.9500983
• 发表时间: 2021
• 期刊: ICC 2021 - IEEE International Conference on Communications Proceedings
• 作者: Shea, John M.;Wong, Tan F.
• 通讯作者: Wong, Tan F.

Privacy-Preserving Localization using Enclaves

使用 Enclave 进行隐私保护本地化

• DOI: 10.1109/uemcon53757.2021.9666706
• 发表时间: 2021
• 期刊: Electronics & Mobile Communication Conference (UEMCON’21
• 作者: Khan, Arslan;Choi, Joseph;Tian, Dave;Ward, Tyler;Butler, Kevin;Traynor, Patrick;Shea, John;Wong, Tan
• 通讯作者: Wong, Tan

Optimal Jammer Placement in the Real Plane to Partition a Wireless Network

干扰器在真实平面上的最佳放置以划分无线网络

• DOI: 10.1109/wcnc.2019.8886012
• 发表时间: 2019
• 期刊: IEEE Wireless Communications and Networking Conference
• 作者: Feng, Jixin;Dixon, Warren E.;Wong, Tan F.;Shea, John M.
• 通讯作者: Shea, John M.