The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Spot Me if You Can: Uncovering Spoken Phrases in Encrypted VoIP Conversations
Abstract
Despite the rapid adoption of Voice over IP (VoIP), its security implications are not yet fully understood. Since VoIP calls may traverse untrusted networks, packets should be encrypted to ensure confidentiality. However, we show that when the audio is encoded using variable bit rate codecs, the lengths of encrypted VoIP packets can be used to identify the phrases spoken within a call. Our results indicate that a passive observer can identify phrases from a standard speech corpus within encrypted calls with an average accuracy of 50%, and with accuracy greater than 90% for some phrases. Clearly, such an attack calls into question the efficacy of current VoIP encryption standards. In addition, we examine the impact of various features of the underlying audio on our performance and discuss methods for mitigation.
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Cites
A tutorial on hidden Markov models and selected applications in speech recognition
Rabiner, L. R. (1989) · Proceedings of the IEEE · doi:10.1109/5.18626 · Cited by 22,743
Tor: The Second-Generation Onion Router
Dingledine, R., Mathewson, N., & Syverson, P. (2004) · doi:10.21236/ada465464 · Cited by 4,104
Statistical identification of encrypted Web browsing traffic
Sun, Q., Simon, D. R., Wang, Y.-M., Russell, W., Padmanabhan, V. N., & Qiu, L. (2005) · Proceedings 2002 IEEE Symposium on Security and Privacy · doi:10.1109/secpri.2002.1004359 · Cited by 377
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Panchenko, A., Lanze, F., Zinnen, A., Henze, M., Pennekamp, J., Wehrle, K., & Engel, T. (2016) · Proceedings 2016 Network and Distributed System Security Symposium · doi:10.14722/ndss.2016.23477 · Cited by 645
Side-Channel Leaks in Web Applications: A Reality Today, a Challenge Tomorrow
Chen, S., Wang, R., Wang, X., & Zhang, K. (2010) · 2010 IEEE Symposium on Security and Privacy · doi:10.1109/sp.2010.20 · Cited by 397
Practical Timing Side Channel Attacks against Kernel Space ASLR
Hund, R., Willems, C., & Holz, T. (2013) · 2013 IEEE Symposium on Security and Privacy · doi:10.1109/sp.2013.23 · Cited by 393
Analyzing Android Encrypted Network Traffic to Identify User Actions
Conti, M., Mancini, L. V., Spolaor, R., & Verde, N. V. (2016) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2015.2478741 · Cited by 266
Machine Learning-Powered Encrypted Network Traffic Analysis: A Comprehensive Survey
Shen, M., Ye, K., Liu, X., Zhu, L., Kang, J., Yu, S., Li, Q., & Xu, K. (2023) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2022.3208196 · Cited by 265
Metadata
- Authors
- Wright, C. V., Ballard, L., Coull, S. E., Monrose, F., & Masson, G. M.
- Venue
- 2008 IEEE Symposium on Security and Privacy (sp 2008)
- Publisher
- IEEE
- Published
- 2008-05
- Pages
- 35-49
- ISSN
- 1081-6011 (ISSN-L)
- OpenAlex
- W2167266744
- Cited by
- 212
- References
- 3
- FWCI
- 12.65
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Wright, C. V., Ballard, L., Coull, S. E., Monrose, F., & Masson, G. M. (2008). Spot Me if You Can: Uncovering Spoken Phrases in Encrypted VoIP Conversations. 2008 IEEE Symposium on Security and Privacy (sp 2008). https://doi.org/10.1109/sp.2008.21
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