Measuring mobile performance in the Tor network with OnionPerf

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The Tor network is the largest public deployed anonymity network using the Internet. While there has been a longitudinal study into the performance of the network in progress since 2009, it has only used vantage points in data
centre networks. In this paper we propose modifications to the performance measurement tool, OnionPerf, to enable its use for measuring performance from a mobile end-user’s perspective. We provide initial findings on simulated mobile networks, using two types of emulated links, using both the public Tor network and in a private test Tor network.
Original languageEnglish
Title of host publicationTMA 2019 - Proceedings of the 3rd Network Traffic Measurement and Analysis Conference
EditorsKeun-Woo Lim, Stefano Secci, Isabelle Chrisment, Lionel Tabourier, Marco Fiore
PublisherIEEE Press
Pages233-238
Number of pages6
ISBN (Electronic)978-3-903176-17-1
ISBN (Print)978-1-5386-7372-0
DOIs
Publication statusPublished - 5 Aug 2019
EventNetwork Traffic Measurement and Analysis Conference 2019 - Paris, France
Duration: 17 Jun 201921 Jun 2019
https://tma.ifip.org/2019/

Conference

ConferenceNetwork Traffic Measurement and Analysis Conference 2019
Abbreviated title(TMA)
CountryFrance
CityParis
Period17/06/1921/06/19
Internet address

Fingerprint

Wireless networks
Internet

Keywords

  • Relays
  • Internet
  • Emulation
  • Servers
  • mobile radio
  • public domain software
  • radio links
  • mobile performance measurement
  • onionperf
  • public Tor network

ASJC Scopus subject areas

  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Computer Networks and Communications

Cite this

Custura, A., Learmonth, I., & Fairhurst, G. (2019). Measuring mobile performance in the Tor network with OnionPerf. In K-W. Lim, S. Secci, I. Chrisment, L. Tabourier, & M. Fiore (Eds.), TMA 2019 - Proceedings of the 3rd Network Traffic Measurement and Analysis Conference (pp. 233-238). IEEE Press. https://doi.org/10.23919/TMA.2019.8784601

Measuring mobile performance in the Tor network with OnionPerf. / Custura, Ana; Learmonth, Iain; Fairhurst, Gorry.

TMA 2019 - Proceedings of the 3rd Network Traffic Measurement and Analysis Conference. ed. / Keun-Woo Lim; Stefano Secci; Isabelle Chrisment; Lionel Tabourier; Marco Fiore. IEEE Press, 2019. p. 233-238.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Custura, A, Learmonth, I & Fairhurst, G 2019, Measuring mobile performance in the Tor network with OnionPerf. in K-W Lim, S Secci, I Chrisment, L Tabourier & M Fiore (eds), TMA 2019 - Proceedings of the 3rd Network Traffic Measurement and Analysis Conference. IEEE Press, pp. 233-238, Network Traffic Measurement and Analysis Conference 2019, Paris, France, 17/06/19. https://doi.org/10.23919/TMA.2019.8784601
Custura A, Learmonth I, Fairhurst G. Measuring mobile performance in the Tor network with OnionPerf. In Lim K-W, Secci S, Chrisment I, Tabourier L, Fiore M, editors, TMA 2019 - Proceedings of the 3rd Network Traffic Measurement and Analysis Conference. IEEE Press. 2019. p. 233-238 https://doi.org/10.23919/TMA.2019.8784601
Custura, Ana ; Learmonth, Iain ; Fairhurst, Gorry. / Measuring mobile performance in the Tor network with OnionPerf. TMA 2019 - Proceedings of the 3rd Network Traffic Measurement and Analysis Conference. editor / Keun-Woo Lim ; Stefano Secci ; Isabelle Chrisment ; Lionel Tabourier ; Marco Fiore. IEEE Press, 2019. pp. 233-238
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