Algorithms for network anomaly and topology detection

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IP networks increasingly support a diversity of converged and mission critical network services beyond the original best-effort traffic that they were designed to carry. Rapid deployment of such services coupled with the distributed nature of the IP architecture and protocols have led to a distinct rise in IP network complexity. As a result, troubleshooting network performance issues has become a time-consuming and costly endeavor. Next generation performance monitoring systems will need to examine new types of network data not traditionally utilized for automated troubleshooting systems. This project will focus on exploratory research and prototyping to advance the state of the art in two key areas for next generation monitoring systems. First, the project will focus on developing novel Netflow-based anomaly detection algorithms. Netflow is a network protocol that allows routers to export per-flow traffic statistics summary information to third party network and security