CRI-IAD: Collaborative Research: Enabling Security and Network Management Research for Future Networks

智力优势：这个项目是密歇根大学和佐治亚理工学院之间的一个合作项目，其目标是建立一个部署系统和相关的分布式监控和诊断算法，以提高生产通信网络的性能、可用性和安全性。该基础设施将使研究在两个主要设置：网络安全和网络管理。该项目为评估依赖跨域可见性的网络管理和安全系统和算法提供了一个独特的平台。基础设施和相关研究将使网络、数据库、安全和机器学习专家之间的多学科研究成为可能。它将为这些领域的研究人员提供(1)访问实际网络管理和运营网络的安全问题，从而为新的研究问题提供良好的基础；(2)在一个现实的环境下，他们可以评估他们的结果。更广泛的影响：第一个影响更广泛的领域是网络运营。该基础设施将部署在生产网络上，并将作为网络安全和网络管理方面分布式网络监测研究的平台。将与佐治亚理工学院、密歇根大学、南方十字路口（SOX）和功绩网络的校园网络运营商密切合作。第二个领域是教育。这两所大学的本科生和研究生网络课程的学生将有能力通过一个受控接口在基础设施上运行自己的监控实验。第三个领域是关于NSF的目标，如未来互联网设计（FIND）和全球网络创新环境（GENI）中所表达的目标。到目前为止，网络社区还没有基础设施来促进系统和算法的部署研究以及实际生产网络的操作。这种基础设施提供了一种方法，可以将不同的网络和计算社区聚集在一起，探索大规模网络所面临的最困难的管理和安全问题。

Intellectual Merit: The goal of this project, a collaboration between the University of Michigan and Georgia Tech, is stand up a deployed system and associated distributed monitoring and diagnosis algorithms to improve performance, availability, and security of production communication networks. The infrastructure will enable research in two primary settings: network security and network management.The project provides a unique platform for evaluating systems and algorithms for network management and security that rely on cross-domain visibility. The infrastructure and associated research will enable multidisciplinary research between experts in networking, databases, security, and machine learning. It will provide researchers from these domains both (1) access to real-world network management and security problems from operational networks, thus providing a sound basis for new research problems; and (2) a realistic setting under which they can evaluate their results.Broader Impact: The first area of broader impact is in network operations. The infrastructure will be deployed on production networks and will serve as a platform for distributed network monitoring research in both network security and network management. There will be close collaboration with campus network operators at Georgia Tech, the University of Michigan, Southern Crossroads (SOX), and Merit Network. The second area is in education. Students in undergraduate and graduate networking courses at the two universities will be given the ability to run their own monitoring experiments on the infrastructure through a controlled interface. The third area is with regard to NSF goals such as those expressed in Future Internet Design (FIND) and Global Environment for Network Innovations (GENI). The networking community to-date has no infrastructure that facilitates deployment studies of systems and algorithms and the operation of real, production networks. This infrastructure offers a way to bring together different networking and computing communities and explore the hardest management and security problems confronting large-scale networking.