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Robust and Undetectable Steganographic Timing Channels for i.i.d. Traffic

机译:i.i.d的健壮和不可检测的隐秘定时通道交通

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摘要

Steganographic timing channels exploit inter-packet delays in network traffic to transmit secret messages. The two most important design goals are undetectability and robustness. In previous proposals undetectability has been validated only against a set of known statistical methods, leaving the resistance against possible future attacks unclear. Moreover, many existing schemes do not provide any robustness at all. In this paper, we introduce a steganographic timing channel that is both robust and provably undetectable for network traffic with independent and identically distributed (i.i.d.) inter-packet delays. I.i.d. traffic models are very useful because they are simple to analyze, and constitute essential elements of many advanced network traffic models. In contrast to previous work on i.i.d. traffic we do not rely on any strong assumptions, e.g., bounded jitter, but require only the existence of a cryptographically secure pseudorandom generator. We verify the effectiveness of our approach by conducting a series of experiments on Telnet traffic and discuss the trade off between various encoding and modulation parameters.
机译:隐秘定时通道利用网络流量中的数据包间延迟来传输秘密消息。两个最重要的设计目标是不可检测性和鲁棒性。在先前的提议中,仅根据一组已知的统计方法验证了不可检测性,尚不清楚对可能的未来攻击的抵抗力。而且,许多现有方案根本不提供任何鲁棒性。在本文中,我们介绍了一种隐秘的定时通道,该通道既健壮又证明对于具有独立且均匀分布(i.d.)数据包间延迟的网络流量来说是不可检测的。 I.i.d.流量模型非常有用,因为它们易于分析,并且构成许多高级网络流量模型的基本要素。与之前在i.d.流量,我们不依赖任何强大的假设,例如有界抖动,而只需要存在一个加密安全的伪随机数发生器。我们通过对Telnet流量进行一系列实验来验证我们方法的有效性,并讨论了各种编码和调制参数之间的权衡。

著录项

  • 来源
    《》|2010年|p.193-207|共15页
  • 会议地点 Calgary(CA);Calgary(CA)
  • 作者单位

    Department of Electrical and Computer Engineering, UC Davis, USA;

    Department of Computer Science, University of California, Davis, USA;

    Horst-Gortz Institute for IT-Security (HGI), Ruhr-University Bochum, Germany;

    Horst-Gortz Institute for IT-Security (HGI), Ruhr-University Bochum, Germany;

    Horst-Gortz Institute for IT-Security (HGI), Ruhr-University Bochum, Germany;

    Department of Computer Science, Technische Universitat Darmstadt, Germany;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 信息处理(信息加工);
  • 关键词

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