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Analysis of Fingerprinting Techniques for Tor Hidden Services
Panchenko, Andriy; Mitseva, Asya; Henze, Martin et al.
2017In Proceedings of the 24th ACM Computer and Communications Security (ACM CCS) 16th Workshop on Privacy in the Electronic Society (ACM WPES 2017)
Peer reviewed
 

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Disciplines :
Computer science
Author, co-author :
Panchenko, Andriy ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Mitseva, Asya ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Henze, Martin;  RWTH Aachen University
Lanze, Fabian ;  Huf Secure Mobile GmbH
Wehrle, Klaus;  RWTH Aachen University
Engel, Thomas ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
External co-authors :
yes
Language :
English
Title :
Analysis of Fingerprinting Techniques for Tor Hidden Services
Publication date :
31 October 2017
Event name :
24th ACM Computer and Communications Security (ACM CCS) 16th Workshop on Privacy in the Electronic Society (ACM WPES 2017)
Event organizer :
ACM
Event place :
Dallas, United States
Event date :
31.10-2017-4.11.2017
Main work title :
Proceedings of the 24th ACM Computer and Communications Security (ACM CCS) 16th Workshop on Privacy in the Electronic Society (ACM WPES 2017)
Peer reviewed :
Peer reviewed
Focus Area :
Security, Reliability and Trust
European Projects :
H2020 - 653426 - PRIVACY FLAG - Enabling Crowd-sourcing based privacy protection for smartphone applications, websites and Internet of Things deployments
FnR Project :
FNR10486741 - Privacy Enhancing Techniques For Future Internet, 2015 (01/09/2016-31/08/2019) - Thomas Engel
Funders :
CE - Commission Européenne [BE]
Available on ORBilu :
since 05 October 2017

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