Random spanning trees for expanders, sparsifiers, and virtual network security

Shlomi Dolev, Daniel Khankin

Research output: Contribution to journalArticlepeer-review

Abstract

This work describes probabilistic methods for utilizing random spanning trees generated via a random walk process. We generalize a method by Goyal et al. for weighted graphs and show that it is possible to approximate the expansion of every cut in a weighted graph with the union of random spanning trees generated by a random walk on a weighted graph. Particularly, we show that our union of random spanning trees is a spectral sparsifier of the graph, and we show that for [Formula presented], O(logn/ϵ2) random spanning trees are required in order to spectrally approximate a bounded degree expander graph. In another part of our research work, we show that our random spanning trees based construction provides security features for virtual networks, in context of Software-Defined Networking. Namely, we demonstrate that our construction allows on-demand efficient monitoring or anonymity services.

Original languageEnglish
Pages (from-to)21-34
Number of pages14
JournalComputer Communications
Volume212
DOIs
StatePublished - 1 Dec 2023

Keywords

  • Anonymity
  • Monitoring
  • Software-defined networking
  • Sparsifier
  • Virtual network

ASJC Scopus subject areas

  • Computer Networks and Communications

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