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IEEE IWQoS, Miami Beach, FL, May 2002. 41 [8] M. G. Gouda, E. N. Elnozahy, C. T. Huang, and T. M. McGuire, “Hop integrity in computer networks,” in Proc. IEEE ICNP, Osaka, Japan, Nov. 2000. [9] S. C. Han, P. Zaroo, D. K. Y. Yau, P. Gopalan, and J. C. S. , West Lafayette, IN, Tech. , 2002. [10] S. Kent and R. Atkinson, “Security Architecture for the Internel Protocol,” IETF, RFC 2401, 1998. [11] F. Liang, D. K. Y. Yau, and J. C. S. Lui, “On Defending Against Distributed Denial-of-Service Attacks With Server-Centric Router Throttles,” Dept of Computer Sciences, Purdue University, West Lafayette, IN, Tech.

J. C. Doyle and S. H. edu). 842216 [12], [19], [26]) that the additive-increase–multiplicative- decrease (AIMD) structure in TCP does not scale well to high capacity networks. The role of mathematical models in this design process has been modest: perhaps the most cited early reference is [17], which gives a quasistatic analysis of fairness properties of a highly idealized version of AIMD. , [9], [10], [15], [26]), and they typically only have predictive value in very simple scenarios such as single bottlenecks with homogeneous delays.

Recently, Gouda et al. [8] propose a framework for providing hop integrity in computer networks. Efficient alogrithms for authentication and key exchanges are important research questions in this class of solutions. It is possible to refine the criteria used in throttling for identifying attacker traffic, such as [7], [18]. , WFQ [14]). Unlike standard congestion control, our solution is not applied at the point of congestion, but is proactive to avoid subsequent aggregation of attack traffc. , about resource or congestion states) between each other, greatly simplifying the deployment complexity.

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