• 中国精品科技期刊
  • CCF推荐A类中文期刊
  • 计算领域高质量科技期刊T1类
高级检索

IP时间隐通道的信息隐藏算法及其性能分析

王昌达, 黄磊, 刘志锋

王昌达, 黄磊, 刘志锋. IP时间隐通道的信息隐藏算法及其性能分析[J]. 计算机研究与发展, 2016, 53(5): 988-999. DOI: 10.7544/issn1000-1239.2016.20150063
引用本文: 王昌达, 黄磊, 刘志锋. IP时间隐通道的信息隐藏算法及其性能分析[J]. 计算机研究与发展, 2016, 53(5): 988-999. DOI: 10.7544/issn1000-1239.2016.20150063
Wang Changda, Huang Lei, Liu Zhifeng. Information Hiding Algorithm of IP Covert Timing Channels and Its Performance Analysis[J]. Journal of Computer Research and Development, 2016, 53(5): 988-999. DOI: 10.7544/issn1000-1239.2016.20150063
Citation: Wang Changda, Huang Lei, Liu Zhifeng. Information Hiding Algorithm of IP Covert Timing Channels and Its Performance Analysis[J]. Journal of Computer Research and Development, 2016, 53(5): 988-999. DOI: 10.7544/issn1000-1239.2016.20150063
王昌达, 黄磊, 刘志锋. IP时间隐通道的信息隐藏算法及其性能分析[J]. 计算机研究与发展, 2016, 53(5): 988-999. CSTR: 32373.14.issn1000-1239.2016.20150063
引用本文: 王昌达, 黄磊, 刘志锋. IP时间隐通道的信息隐藏算法及其性能分析[J]. 计算机研究与发展, 2016, 53(5): 988-999. CSTR: 32373.14.issn1000-1239.2016.20150063
Wang Changda, Huang Lei, Liu Zhifeng. Information Hiding Algorithm of IP Covert Timing Channels and Its Performance Analysis[J]. Journal of Computer Research and Development, 2016, 53(5): 988-999. CSTR: 32373.14.issn1000-1239.2016.20150063
Citation: Wang Changda, Huang Lei, Liu Zhifeng. Information Hiding Algorithm of IP Covert Timing Channels and Its Performance Analysis[J]. Journal of Computer Research and Development, 2016, 53(5): 988-999. CSTR: 32373.14.issn1000-1239.2016.20150063

IP时间隐通道的信息隐藏算法及其性能分析

基金项目: 国家自然科学基金项目(61300228);江苏省科技支撑项目(BE2013103);江苏省科技成果转化项目(BA2015161);江苏省“六大人才高峰”高层次人才项目(1631170006);江苏大学拔尖人才项目(1213000013)
详细信息
  • 中图分类号: TP391

Information Hiding Algorithm of IP Covert Timing Channels and Its Performance Analysis

  • 摘要: 隐通道(亦称隐蔽信道)是高等级可信系统评估的重要指标,而以时间作为信息传输载体的工作方式决定了IP时间隐通道在包交换网络中几乎不能被根除.目前,利用IP时间隐通道在网络中实施信息的隐蔽传输没有统一的数学模型,对其研究主要还是依靠实验方式.首先根据时间的物理定义,将IP时间隐通道按工作方式的差异分成不同类别;然后以随机过程为工具,建立了基于定长时隙与包间延迟2种IP时间隐通道的信息隐藏算法模型;最后在此基础上,推导出了其带宽和误码率与相关网络环境参数的函数关系,并对可获取的有效隐蔽通信带宽与网络噪声的影响进行了一般性的讨论.实验结果印证了提出的数学模型及其理论分析结果的正确性,由此IP时间隐通道的研究可以从主要依靠实验转化为形式化分析与实验验证相结合.
    Abstract: Covert channel analysis is one of the mandatory requirements of high-level trust evaluations. That IP covert timing channels utilize “time” as media to carry messages makes the eradication of IP covert timing channels on packets-switched networks, which is almost impossible. Hitherto, lack of a general mathematical model makes IP covert timing channels to be a tough job by which implement anonymous communication or information hiding among packets flows. As a result, in the past a few years, most of related works depended on the experiments and observations only. Based on the physical definition of time, IP covert timing channels are categorized as three types according to their different working methods. Furthermore, the mathematical models of IP covert timing channels of fixed-length time slots and inter-packets delays are built through the probability theory, respectively. In addition, the bandwidth function and error rate function of the network parameters for IP covert timing channels are derived. Experimental results show the correctness of the mathematical models as well as the theoretical analysis conclusions in the paper. The models of IP covert timing channels have formed a base on which some of researches in this area can be done through the formal analysis instead of the experimental observations only.
  • 期刊类型引用(9)

    1. 黄翔东,陈红红,甘霖. 基于频率-时间扩张密集网络的语音增强方法. 计算机研究与发展. 2023(07): 1628-1638 . 本站查看
    2. 许春冬,徐琅,周滨. 结合优化U-Net和残差神经网络的单通道语音增强算法. 现代电子技术. 2022(09): 35-40 . 百度学术
    3. 葛宛营,张天骐,范聪聪,张天. 噪声情况下采用稀疏非负矩阵分解与深度吸引子网络的人声分离算法. 声学学报. 2021(01): 55-66 . 百度学术
    4. GE Wanying,ZHANG Tianqi,FAN Congcong,ZHANG Tian. Monaural noisy speech separation combining sparse non-negative matrix factorization and deep attractor network. Chinese Journal of Acoustics. 2021(02): 266-280 . 必应学术
    5. 王静红,梁丽娜,李昊康,周易. 基于注意力网络特征的社区发现算法. 山东大学学报(理学版). 2021(09): 1-12+20 . 百度学术
    6. 张天骐,柏浩钧,叶绍鹏,刘鉴兴. 基于门控残差卷积编解码网络的单通道语音增强方法. 信号处理. 2021(10): 1986-1995 . 百度学术
    7. 曹丽静. 语音增强技术研究综述. 河北省科学院学报. 2020(02): 30-36 . 百度学术
    8. 张天骐,张晓艳,周琳,胡延平. 基于稀疏性的相位谱补偿语音增强算法. 信号处理. 2020(11): 1867-1876 . 百度学术
    9. 时文华,张雄伟,邹霞,孙蒙. 利用深度全卷积编解码网络的单通道语音增强. 信号处理. 2019(04): 631-640 . 百度学术

    其他类型引用(8)

计量
  • 文章访问数:  1346
  • HTML全文浏览量:  3
  • PDF下载量:  768
  • 被引次数: 17
出版历程
  • 发布日期:  2016-04-30

目录

    /

    返回文章
    返回