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Steps to Reducing Unwanted Traffic on the Internet Workshop — Abstract
Pp. 9–15 of the Proceedings
Reducing Unwanted Traffic in a Backbone Network
Kuai Xu and Zhi-Li Zhang, University of Minnesota; Supratik Bhattacharyya, Sprint ATL
Abstract
This paper studies the techniques a backbone ISP can employ to reduce unwanted traffic on its network. For this purpose, we extract likely sources of exploit (thus unwanted) traffic from packet traces collected on backbone links using an Internet traffic behavior profiling methodology we developed earlier. We first study the characteristics of exploit traffic from several aspects, such as network origins and severity. Based on these characteristics, we propose several heuristic rules that an ISP may pursue for reducing unwanted traffic, and evaluate their cost and performance. Using packet traces collected from backbone links, we demonstrate that simple blocking strategies could potentially reduce substantial exploit traffic in a backbone network.
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