PrivEx: Private Collection of Traffic Statistics for Anonymous Communication Networks

Tariq Elahi, George Danezis, Ian Goldberg

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

Abstract

In addition to their common use for private online communication, anonymous communication networks can also be used to circumvent censorship. However, it is difficult to determine the extent to which they are actually used for this purpose without violating the privacy of the networks' users. Knowing this extent can be useful to designers and researchers who would like to improve the performance and privacy properties of the network. To address this issue, we propose a statistical data collection system, PrivEx, for collecting egress traffic statistics from anonymous communication networks in a secure and privacy-preserving manner. Our solution is based on distributed differential privacy and secure multiparty computation; it preserves the security and privacy properties of anonymous communication networks, even in the face of adversaries that can compromise data collection nodes or coerce operators to reveal cryptographic secrets and keys.
Original languageEnglish
Title of host publicationProceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security
Place of PublicationScottsdale, Arizona, USA
PublisherACM
Pages1068-1079
Number of pages12
ISBN (Print)978-1-4503-2957-6
DOIs
Publication statusPublished - 3 Nov 2014
Event2014 ACM SIGSAC Conference on Computer and Communications Security - Scottsdale, United States
Duration: 3 Nov 20147 Nov 2014
http://www.sigsac.org/ccs/CCS2014/

Conference

Conference2014 ACM SIGSAC Conference on Computer and Communications Security
Abbreviated titleACM CCS 2014
CountryUnited States
CityScottsdale
Period3/11/147/11/14
Internet address

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