RAINBOW - RAdIo Networks Based On machine learning for situation aWareness

RAINBOW - 基于机器学习的 RAdIo 网络用于态势感知

• 批准号: LP190101287
• 负责人: Prof Tansu Alpcan
• 金额: $ 23.06万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2020
• 资助国家: 澳大利亚
• 起止时间: 2020-09-29 至 2023-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP190101287
• 关键词: RAINBOW; RAdIo; Networks; Based; machine

This project aims to develop software-defined and cognitive radio networks (SDR) to detect adversarial communications and achieve situation awareness on radio frequency (RF) spectrum. The project will generate novel SDR architectures and new attack-resistant detection algorithms through innovative approaches combining machine learning and game theory. Expected outcomes include a strategic alliance between the University of Melbourne and the Northrop Grumman Corporation. Among significant benefits, the project will improve cybersecurity of RF spectrum as a national asset, help protect critical infrastructure relying on wireless networks such as telecommunications and defence, and build skills in cybersecurity and Artificial Intelligence.

该项目旨在开发软件定义和认知无线电网络（SDR），以检测对抗通信并实现射频（RF）频谱上的态势感知。 该项目将通过结合机器学习和博弈论的创新方法生成新的SDR架构和新的抗攻击检测算法。预期成果包括墨尔本大学和诺斯罗普·格鲁曼公司之间的战略联盟。该项目将改善作为国家资产的射频频谱的网络安全，帮助保护依赖无线网络的关键基础设施，如电信和国防，并培养网络安全和人工智能方面的技能。