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A statistical hiding algorithm based on self-similar network traffic

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【作者】 沙学军徐玉滨强蔚

【Author】 SHA Xue-jun, XU Yu-bin, QIANG Wei (Communications Research Center, Harbin Institute of Technology, Harbin 150001,China)

【机构】 Communications Research Center Harbin Institute of TechnologyCommunications Research CenterHarbin Institute of TechnologyHarbin 150001China

【摘要】 Although the encryption of network packets significantly increases privacy, the density of the traffic can still provide useful information to the observer, and maybe results in the breach of confidentiality. In this paper, we address issues related to hiding information in self-similar network, which is proved to be similar with modern communication network. And a statistical hiding algorithm is proposed for traffic padding. The figures and the comparison of Hurst Parameters before and after traffic padding, show the effective performance of the algorithm.

【Abstract】 Although the encryption of network packets significantly increases privacy, the density of the traffic can still provide useful information to the observer, and maybe results in the breach of confidentiality. In this paper, we address issues related to hiding information in self-similar network, which is proved to be similar with modern communication network. And a statistical hiding algorithm is proposed for traffic padding. The figures and the comparison of Hurst Parameters before and after traffic padding, show the effective performance of the algorithm.

【基金】 Sponsored by the Program for New Excellent Talents in University(Grant No.NZCT2004-0332)
  • 【文献出处】 Journal of Harbin Institute of Technology ,哈尔滨工业大学学报(英文版) , 编辑部邮箱 ,2008年01期
  • 【分类号】U491.13
  • 【下载频次】49
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