Collaborative Research:FMitF:Track 1: DOPaMINe: Distributed Opportunistic Platform for Monitoring In-Situ Networks

合作研究：FMitF：轨道 1：DOPaMINe：用于监控原位网络的分布式机会平台

• 批准号: 2019240
• 负责人: Sandip Ray
• 金额: $ 25万
• 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: 2020
• 资助国家: 美国
• 起止时间: 2020-10-01 至 2025-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2019240&HistoricalAwards=false
• 关键词: Collaborative; Research; FMitF; Track; DOPaMINe

Given the importance of emerging wireless networks that utilize dynamic spectrum allocation to the future national economy, it is critical to find protocol shortcomings that can result in failures as well as determine mechanisms for detection and defense against attacks that exploit protocol vulnerabilities either in the protocol specifications or their implementations. This research will develop a distributed opportunistic platform for monitoring deployed wireless networks and formal verification tools that use this data to certify safe and robust protocol operation in the field. Measurements of 4G LTE networks using a software-defined radio (SDR) platform will provide the runtime traces and channel information for new verification algorithms. New tools for rapidly verifying correct protocol operation in a variety of real-world operational scenarios will be developed. The research results will be integrated into next-generation protocol design. Consequently, this work will have a transformative societal impact by dramatically increasing the robustness and security of emergent wireless protocols. A key impact will be early identification of protocol and implementation weaknesses, which will be communicated to industry and standards organizations. All aspects of the framework, including architectures, tools, and case studies, will be made publicly available. Hands-on training modules will be developed to illustrate key concepts of wireless protocols and their security implications, which will be integrated into graduate/undergraduate classes. These courses will provide a key pathway for the dissemination of the research results. Female and minority students will be engaged through interdisciplinary research projects.The approach being pursued is to apply formal-verification methods to wireless networks, where runtime traces are used to verify the correctness of operation against a specification. These methods are well understood and have been applied extensively in many hardware-software platforms with demonstrated success. However, they typically are used for systems with complete knowledge of runtime behaviors. In cellular systems that are distributed, there are not necessarily complete traces and complete instantaneous system states (e.g., interference data at different locations or mobile users who encounter different channel states). Therefore, this research will seek to extend formal-verification methods to the wireless-network domain, where there are incomplete and changing states and incomplete traces. The outcome of the work will be tools for collecting runtime traces and cell states and verification algorithms that can then verify correct operation or quickly detect failures caused by improper implementation or attacks.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.

鉴于利用动态频谱分配的新兴无线网络对未来国民经济的重要性，找到可能导致失败的协议缺陷以及确定检测和防御利用协议规范或其实现中的协议漏洞的攻击的机制至关重要。本研究将开发一个分布式机会平台，用于监控部署的无线网络和正式验证工具，这些工具使用这些数据来验证现场安全可靠的协议操作。使用软件定义无线电（SDR）平台对4G LTE网络进行测量，将为新的验证算法提供运行时跟踪和信道信息。将开发用于在各种实际操作场景中快速验证正确协议操作的新工具。研究结果将集成到下一代协议设计中。因此，这项工作将通过显着提高新兴无线协议的鲁棒性和安全性来产生变革性的社会影响。一个关键的影响将是早期识别协议和实现的弱点，这将被传达给工业和标准组织。该框架的所有方面，包括体系结构、工具和案例研究，都将公开提供。将开发动手培训模块，以说明无线协议的关键概念及其安全含义，这将整合到研究生/本科课程中。这些课程将为传播研究成果提供重要途径。女性和少数族裔学生将参与跨学科研究项目。所追求的方法是将形式验证方法应用于无线网络，其中使用运行时跟踪来根据规范验证操作的正确性。这些方法很容易理解，并已广泛应用于许多硬件软件平台，并取得了成功。然而，它们通常用于具有完整运行时行为知识的系统。在分布的蜂窝系统中，不一定存在完整的迹线和完整的瞬时系统状态（例如，不同位置的干扰数据或遇到不同信道状态的移动用户）。因此，本研究将寻求将形式验证方法扩展到无线网络领域，其中存在不完整和变化的状态和不完整的痕迹。工作的结果将是收集运行时跟踪和单元状态的工具，以及验证算法，然后可以验证正确的操作或快速检测由不适当的实现或攻击引起的故障。该奖项反映了美国国家科学基金会的法定使命，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。