Analyzing PeerFlow – A Bandwidth Estimation System for Untrustworthy Environments
Abstract
Tor is the most popular low-latency anonymization network comprising over 7,000 nodes run by volunteers. To balance the user traffic load over the diverse resource capabilities of these nodes, Tor guides users to choose nodes in proportion to their available bandwidth. However, self-reported bandwidth values are not trustworthy. Recently, a new bandwidth measurement system, PeerFlow, has been proposed aiming to solve the Tor bandwidth estimation problem. In this work, we introduce the first practical analysis of PeerFlow. We proposed a set of strategies for the practical realization of probation periods in PeerFlow and showed that many Tor nodes cannot recover to their normal state after one measuring period. We also demonstrated that low-bandwidth adversaries gain significantly higher bandwidth estimates exceeding the theoretically defined security boundaries of PeerFlow.
- Citation
- BibTeX
Mitseva, A., Engel, T. & Panchenko, A.,
(2020).
Analyzing PeerFlow – A Bandwidth Estimation System for Untrustworthy Environments.
In:
Reinhardt, D., Langweg, H., Witt, B. C. & Fischer, M.
(Hrsg.),
SICHERHEIT 2020.
Bonn:
Gesellschaft für Informatik e.V..
(S. 29-40).
DOI: 10.18420/sicherheit2020_02
@inproceedings{mci/Mitseva2020,
author = {Mitseva, Asya AND Engel, Thomas AND Panchenko, Andriy},
title = {Analyzing PeerFlow – A Bandwidth Estimation System for Untrustworthy Environments},
booktitle = {SICHERHEIT 2020},
year = {2020},
editor = {Reinhardt, Delphine AND Langweg, Hanno AND Witt, Bernhard C. AND Fischer, Mathias} ,
pages = { 29-40 } ,
doi = { 10.18420/sicherheit2020_02 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
author = {Mitseva, Asya AND Engel, Thomas AND Panchenko, Andriy},
title = {Analyzing PeerFlow – A Bandwidth Estimation System for Untrustworthy Environments},
booktitle = {SICHERHEIT 2020},
year = {2020},
editor = {Reinhardt, Delphine AND Langweg, Hanno AND Witt, Bernhard C. AND Fischer, Mathias} ,
pages = { 29-40 } ,
doi = { 10.18420/sicherheit2020_02 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
Sollte hier kein Volltext (PDF) verlinkt sein, dann kann es sein, dass dieser aus verschiedenen Gruenden (z.B. Lizenzen oder Copyright) nur in einer anderen Digital Library verfuegbar ist. Versuchen Sie in diesem Fall einen Zugriff ueber die verlinkte DOI: 10.18420/sicherheit2020_02
Haben Sie fehlerhafte Angaben entdeckt? Sagen Sie uns Bescheid: Send Feedback
More Info
ISBN: 978-3-88579-695-4
ISSN: 1617-5468
xmlui.MetaDataDisplay.field.date: 2020
Language:
(en)

Content Type: Text/Conference Paper