Phonotactic Reconstruction of Encrypted VoIP Conversations: Hookt on Fon-iks

Phonotactic Reconstruction of Encrypted VoIP Conversations: Hookt on Fon-iks
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DOI:
10.1109/sp.2011.34
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发表时间:
2011-05
期刊:
2011 IEEE Symposium on Security and Privacy
影响因子:
--
通讯作者:
Andrew M. White;Austin R. Matthews;Kevin Z. Snow;F. Monrose
Andrew M. White;Austin R. Matthews;Kevin Z. Snow;F. Monrose
中科院分区:
其他
文献类型:
--
作者:
Andrew M. White;Austin R. Matthews;Kevin Z. Snow;F. Monrose

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在这项工作中,我们揭示了对IP语音(VoIP)通信的新的隐私威胁。虽然先前的工作表明,可变比特率编解码器和长度保持流密码的相互作用泄漏信息,我们表明,威胁比以前认为的更严重。特别是,我们得到近似的加密VoIP会话的成绩单分割成一个观察到的数据包流表示个别音素和分类的音素,他们编码的那些beneficies。借鉴计算语言学和语音识别社区的见解,我们采用新的技术来揭露对话的部分。我们相信我们这样做的能力强调了设计安全(但有效)的方法来保护VoIP对话机密性的重要性。
In this work, we unveil new privacy threats against Voice-over-IP (VoIP) communications. Although prior work has shown that the interaction of variable bit-rate codecs and length-preserving stream ciphers leaks information, we show that the threat is more serious than previously thought. In particular, we derive approximate transcripts of encrypted VoIP conversations by segmenting an observed packet stream into subsequences representing individual phonemes and classifying those subsequences by the phonemes they encode. Drawing on insights from the computational linguistics and speech recognition communities, we apply novel techniques for unmasking parts of the conversation. We believe our ability to do so underscores the importance of designing secure (yet efficient) ways to protect the confidentiality of VoIP conversations.