SkypeLine:网络电话的稳健隐藏数据传输

K. Kohls, Thorsten Holz, D. Kolossa, C. Pöpper
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引用次数: 17

摘要

互联网审查在世界上许多地方被用来禁止自由获取在线信息。IP地址或URL阻断、DNS劫持、深度包检测等技术被用来阻断对Internet上特定内容的访问。作为回应,提出了几个审查规避系统,试图绕过现有的过滤器。特别是在不同类型的掩护协议中隐藏通信的系统引起了人们的广泛关注。然而,最近的研究结果表明,这种隐蔽的流量很容易被审查者发现。在本文中,我们提出了skyeline,一种审查规避系统,它利用基于直接序列扩频(DSSS)的隐写术来隐藏ip语音(VoIP)通信中的信息。skyypeline引入了两种新的调制技术,通过使用伪随机、正交噪声序列调制语音载波信号上的信息位,并多次重复扩展操作来隐藏数据。我们的设计目标集中在强大对手面前的不可检测性和改进的数据速率。因此,这种隐藏是不明显的,不会改变载波信号的统计特性,并且对传输数据包的改变具有鲁棒性。我们在两个仿真研究的基础上证明了skyypeline的性能,包括理论性能和鲁棒性。我们的测量表明,我们的技术实现的数据速率大大超过现有的DSSS方法。此外,我们用Skype的示例原型证明了所提出系统的实际适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SkypeLine: Robust Hidden Data Transmission for VoIP
Internet censorship is used in many parts of the world to prohibit free access to online information. Different techniques such as IP address or URL blocking, DNS hijacking, or deep packet inspection are used to block access to specific content on the Internet. In response, several censorship circumvention systems were proposed that attempt to bypass existing filters. Especially systems that hide the communication in different types of cover protocols attracted a lot of attention. However, recent research results suggest that this kind of covert traffic can be easily detected by censors. In this paper, we present SkypeLine, a censorship circumvention system that leverages Direct-Sequence Spread Spectrum (DSSS) based steganography to hide information in Voice-over-IP (VoIP) communication. SkypeLine introduces two novel modulation techniques that hide data by modulating information bits on the voice carrier signal using pseudo-random, orthogonal noise sequences and repeating the spreading operation several times. Our design goals focus on undetectability in presence of a strong adversary and improved data rates. As a result, the hiding is inconspicuous, does not alter the statistical characteristics of the carrier signal, and is robust against alterations of the transmitted packets. We demonstrate the performance of SkypeLine based on two simulation studies that cover the theoretical performance and robustness. Our measurements demonstrate that the data rates achieved with our techniques substantially exceed existing DSSS approaches. Furthermore, we prove the real-world applicability of the presented system with an exemplary prototype for Skype.
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