RAINBOW - RAdIo Networks Based On machine learning for situation aWareness

该项目旨在开发软件定义和认知无线电网络（SDR），以检测对抗性通信并实现无线电频率（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。预期的结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技能。

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.