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Streaming Solutions for Fine-Grained Network Traffic Measurements and Analysis

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4 Author(s)
Faisal Khan ; Univ. of California, Davis, CA, USA ; Nicholas Hosein ; Chen-Nee Chuah ; Soheil Ghiasi

Streaming network traffic measurements and analysis is critical for detecting and preventing any real-time anomalies in the network. The high speeds and complexity of today's network make the traditional slow open-loop measurement schemes infeasible. We propose an alternate closed-loop measurement paradigm and demonstrate its practical realization. To the heart of our solution are three streaming algorithms that provide a tight integration between the measurement platform and the measurements. The algorithms cater to varying degrees of computational budgets, detection latency, and accuracy. We empirically evaluate our streaming solutions on a highly parallel and programmable measurement platform. The algorithms demonstrate a marked 100% accuracy increase from a recently proposed MRT algorithm in detecting DoS attacks made up of synthetic hard-to-track elephant flows. Our proposed algorithms maintain the worst case complexities of the MRT, while empirically demonstrating a moderate increase in average resource utilization.

Published in:

Architectures for Networking and Communications Systems (ANCS), 2011 Seventh ACM/IEEE Symposium on

Date of Conference:

3-4 Oct. 2011