A tutorial on hidden Markov models and selected applications in speech recognition
Readings in speech recognition
Untraceable electronic mail, return addresses, and digital pseudonyms
Communications of the ACM
The disadvantages of free MIX routes and how to overcome them
International workshop on Designing privacy enhancing technologies: design issues in anonymity and unobservability
Web MIXes: a system for anonymous and unobservable Internet access
International workshop on Designing privacy enhancing technologies: design issues in anonymity and unobservability
Tarzan: a peer-to-peer anonymizing network layer
Proceedings of the 9th ACM conference on Computer and communications security
Introducing MorphMix: peer-to-peer based anonymous Internet usage with collusion detection
Proceedings of the 2002 ACM workshop on Privacy in the Electronic Society
ISDN-MIXes: Untraceable Communication with Small Bandwidth Overhead
Kommunikation in Verteilten Systemen, Grundlagen, Anwendungen, Betrieb, GI/ITG-Fachtagung
Proceedings of the First International Workshop on Information Hiding
Statistical Identification of Encrypted Web Browsing Traffic
SP '02 Proceedings of the 2002 IEEE Symposium on Security and Privacy
An HMM-Based Approach for Gesture Segmentation and Recognition
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 3
Determination of the Number of Writing Variants with an HMM based Cursive Word Recognition System
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Low-Cost Traffic Analysis of Tor
SP '05 Proceedings of the 2005 IEEE Symposium on Security and Privacy
Quantifying Skype user satisfaction
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
End-to-End QoS Network Design: Quality of Service in LANs, WANs, and VPNs (Networking Technology)
End-to-End QoS Network Design: Quality of Service in LANs, WANs, and VPNs (Networking Technology)
Timing analysis of keystrokes and timing attacks on SSH
SSYM'01 Proceedings of the 10th conference on USENIX Security Symposium - Volume 10
Tor: the second-generation onion router
SSYM'04 Proceedings of the 13th conference on USENIX Security Symposium - Volume 13
HMM-based speech recognition using state-dependent, linear transforms on Mel-warped DFT features
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 01
Network Flow Watermarking Attack on Low-Latency Anonymous Communication Systems
SP '07 Proceedings of the 2007 IEEE Symposium on Security and Privacy
Enhanced Skype traffic identification
Proceedings of the 2nd international conference on Performance evaluation methodologies and tools
Language identification of encrypted VoIP traffic: Alejandra y Roberto or Alice and Bob?
SS'07 Proceedings of 16th USENIX Security Symposium on USENIX Security Symposium
Devices that tell on you: privacy trends in consumer ubiquitous computing
SS'07 Proceedings of 16th USENIX Security Symposium on USENIX Security Symposium
Spot Me if You Can: Uncovering Spoken Phrases in Encrypted VoIP Conversations
SP '08 Proceedings of the 2008 IEEE Symposium on Security and Privacy
Compromising anonymous communication systems using blind source separation
ACM Transactions on Information and System Security (TISSEC)
Dummy traffic against long term intersection attacks
PET'02 Proceedings of the 2nd international conference on Privacy enhancing technologies
Correlation-Based Traffic Analysis Attacks on Anonymity Networks
IEEE Transactions on Parallel and Distributed Systems
Statistical disclosure or intersection attacks on anonymity systems
IH'04 Proceedings of the 6th international conference on Information Hiding
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Skype is one of the most popular voice-over-IP (VoIP) service providers. One of the main reasons for the popularity of Skype VoIP services is its unique set of features to protect privacy of VoIP calls such as strong encryption, proprietary protocols, unknown codecs, dynamic path selection, and the constant packet rate. In this paper, we propose a class of passive traffic analysis attacks to compromise privacy of Skype VoIP calls. The proposed attacks are based on application-level features extracted from VoIP call traces. The proposed attacks are evaluated by extensive experiments over different types of networks including commercialized anonymity networks and our campus network. The experiment results show that the proposed traffic analysis attacks can greatly compromise the privacy of Skype calls. Possible countermeasure to mitigate the proposed traffic analysis attacks are analyzed in this paper.