Leibowitz, H;
Piotrowska, AM;
Danezis, G;
Herzberg, A;
(2019)
No Right to Remain Silent: Isolating Malicious Mixes.
In:
Proceedings of the 28th USENIX Security Symposium.
(pp. pp. 1841-1858).
USENIX Association: Santa Clara, CA, USA.
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Abstract
Mix networks are a key technology to achieve network anonymity and private messaging, voting and database lookups. However, simple mix network designs are vulnerable to malicious mixes, which may drop or delay packets to facilitate traffic analysis attacks. Mix networks with provable robustness address this drawback through complex and expensive proofs of correct shuffling but come at a great cost and make limiting or unrealistic systems assumptions. We present Miranda, an efficient mix-net design, which mitigates active attacks by malicious mixes. Miranda uses both the detection of corrupt mixes, as well as detection of faults related to a pair of mixes, without detection of the faulty one among the two. Each active attack -- including dropping packets -- leads to reduced connectivity for corrupt mixes and reduces their ability to attack, and, eventually, to detection of corrupt mixes. We show, through experiments, the effectiveness of Miranda, by demonstrating how malicious mixes are detected and that attacks are neutralized early.
| Type: | Proceedings paper |
|---|---|
| Title: | No Right to Remain Silent: Isolating Malicious Mixes |
| Event: | 28th USENIX Security Symposium |
| Location: | Santa Clara, CA |
| Dates: | 14 August 2019 - 16 August 2019 |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | https://www.usenix.org/conference/usenixsecurity19... |
| Language: | English |
| Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10116308 |
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