Service interruption on Monday 11 July from 12:30 to 13:00: all the sites of the CCSD (HAL, EpiSciences, SciencesConf, AureHAL) will be inaccessible (network hardware connection).
Skip to Main content Skip to Navigation
Conference papers

Towards Relations Between the Hitting-Set Attack and the Statistical Disclosure Attack

Abstract : The Minimal-Hitting-Set attack (HS-attack) is a well-known, provably optimal exact attack against the anonymity provided by Chaumian Mixes (Threshold-Mixes). This attack allows an attacker to identify the fixed set of communication partners of a given user by observing all messages sent and received by a Chaum Mix. In contrast to this, the Statistical Disclosure attack (SDA) provides a guess of that user’s contacts, based on statistical analyses of the observed message exchanges.We contribute the first closed formula that shows the influence of traffic distributions on the least number of observations of the Mix to complete the HS-attack. This measures when the Mix fails to hide a user’s partners, such that the user cannot plausibly deny the identified contacts. It reveals that the HS-attack requires asymptotically less observations to identify a user’s partners than the SDA, which guesses them with a given bias. This number of observations is O ( 1 p ) for the HS-attack and O ( 1 p 2 ) for the SDA, where p the probability that the attacked user contacts his least frequent partner.
Document type :
Conference papers
Complete list of metadata

Cited literature [30 references]  Display  Hide  Download
Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Wednesday, July 13, 2016 - 10:51:00 AM
Last modification on : Tuesday, July 9, 2019 - 4:52:05 PM


Files produced by the author(s)


Distributed under a Creative Commons Attribution 4.0 International License



Dang Vinh Pham, Dogan Kesdogan. Towards Relations Between the Hitting-Set Attack and the Statistical Disclosure Attack. 30th IFIP International Information Security Conference (SEC), May 2015, Hamburg, Germany. pp.35-50, ⟨10.1007/978-3-319-18467-8_3⟩. ⟨hal-01345094⟩



Record views


Files downloads