Traffic analysis attacks on Skype VoIP calls

被引:13
|
作者
Zhu, Ye [1 ]
Fub, Huirong [2 ]
机构
[1] Cleveland State Univ, Cleveland, OH 44115 USA
[2] Oakland Univ, Rochester, MI 48309 USA
基金
美国国家科学基金会;
关键词
Skype; VoIP; HMM; CONTINUOUS SPEECH RECOGNITION;
D O I
10.1016/j.comcom.2010.12.007
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:1202 / 1212
页数:11
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