Abstract
We study the problem of fully mitigating the effects of denial of service by filtering the minimum necessary set of the undesirable flows. First, we model this problem and then we concentrate on a subproblem where every good flow has a bottleneck. We prove that unless \(\text {P}= \text {NP}\), this subproblem is inapproximable within factor \(2^{\log ^{1 - 1/\log \log ^c (n)}(n)}\), for \(n = \left| E \right| + \left| GF \right| \) and any \(c < 0.5\). We provide a \(b (k + 1)\)-factor polynomial approximation, where k bounds the number of the desirable flows that a desirable flow intersects, and b bounds the number of the undesirable flows that can intersect a desirable one at a given edge. Our algorithm uses the local ratio technique.
S. Trajanovski—The research was started while S.T. was with the University of Amsterdam. He is now with Philips Research.
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- 1.
In our case, these are the incidence vectors of the bad flows that, if filtered, would allow assigning the good flows the maximum possible total value. Thus, we have \(D \subseteq \mathbb {N}^n\).
- 2.
We use the unweighted set cover, where each set has the same importance, because it has the same hardness results as the weighted version.
- 3.
Did we reduce the weighted SC, we would define it to be the weight of the respective set.
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Acknowledgments
This research is funded by the Dutch Science Foundation project SARNET (grant no: CYBSEC.14.003/618.001.016).
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Polevoy, G., Trajanovski, S., Grosso, P., de Laat, C. (2017). Filtering Undesirable Flows in Networks. In: Gao, X., Du, H., Han, M. (eds) Combinatorial Optimization and Applications. COCOA 2017. Lecture Notes in Computer Science(), vol 10627. Springer, Cham. https://doi.org/10.1007/978-3-319-71150-8_1
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