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Titel: Your choice MATor(s) : large-scale quantitative anonymity assessment of Tor path selection algorithms against structural attacks
Verfasser: Backes, Michael
Meiser, Sebastian
Slowik, Marcin
Sprache: Englisch
Erscheinungsjahr: 2015
SWD-Schlagwörter: Computersicherheit
Freie Schlagwörter: Tor
anonymity quantification
Tor's path selection
anonymous communication
rigorous guarantees
DDC-Sachgruppe: 004 Informatik
Dokumentart : Report (Bericht)
Kurzfassung: In this paper, we present a rigorous methodology for quantifying the anonymity provided by Tor against a variety of structural attacks, i.e., adversaries that compromise Tor nodes and thereby perform eavesdropping attacks to deanonymize Tor users. First, we provide an algorithmic approach for computing the anonymity impact of such structural attacks against Tor. The algorithm is parametric in the considered path selection algorithm and is, hence, capable of reasoning about variants of Tor andalternative path selection algorithms as well. Second, we present formalizations of various instantiations of structural attacks against Tor and show that the computed anonymity impact of each of theseadversaries indeed constitutes a worst-case anonymity bound for the cryptographic realization of Tor. Third, we use our methodology to conduct a rigorous, large-scale evaluation of Tor's anonymity which establishes worst-case anonymity bounds against various structural attacks for Tor and for alternative path selection algorithms such as DistribuTor, SelekTOR, and LASTor. This yields the rst rigorous anonymity comparison between dierent path selection algorithms. As part of our analysis, we quantify the anonymity impact of a path selection transition phase, i.e., a small number of users decides to run an alternative algorithm while the vast majority still uses the original one. The source code of our implementation is publicly available.
Link zu diesem Datensatz: urn:nbn:de:bsz:291-scidok-63378
hdl:20.500.11880/26695
http://dx.doi.org/10.22028/D291-26639
Schriftenreihe: Technischer Bericht / A / Fachbereich Informatik, Universität des Saarlandes
Band: 2015/03
SciDok-Publikation: 8-Jan-2016
Fakultät: Fakultät 6 - Naturwissenschaftlich-Technische Fakultät I
Fachrichtung: MI - Informatik
Fakultät / Institution:MI - Fakultät für Mathematik und Informatik

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