应用科学学报 ›› 2018, Vol. 36 ›› Issue (2): 383-392.doi: 10.3969/j.issn.0255-8297.2018.02.016

• 多媒体信息安全专刊 • 上一篇    下一篇

基于联合质心熵的网络流水印自适应检测方案

石进1, 李乾坤2, 刘伟伟1, 刘光杰1, 戴跃伟3   

  1. 1. 南京理工大学 自动化学院, 南京 210094;
    2. 中国电子科技集团公司第十研究所 情报事业部, 成都 610036;
    3. 江苏科技大学 电子信息学院, 江苏 镇江 212003
  • 收稿日期:2018-01-31 出版日期:2018-03-31 发布日期:2018-03-31
  • 通信作者: 石进,博士生,研究方向:网络信息隐藏,E-mail:shijin1011@163.com E-mail:shijin1011@163.com
  • 基金资助:

    国家自然科学基金(No.61472188,No.61602247,No.61702235,No.1636117);江苏省自然科学基金(No.BK20150472,No.BK20160840);国家科技支撑计划基金(No.2014BAH41B01); CCF-启明星辰“鸿雁”科研基金(No.201611);中央高校基本科研业务费专项资金(No.30920140121006,No.30915012208)资助

Adaptive Network Flow Watermarking Detection Scheme Based on Joint Centroid Entropy

SHI Jin1, LI Qian-kun2, LIU Wei-wei1, LIU Guang-jie1, DAI Yue-wei3   

  1. 1. School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China;
    2. Intelligence Division, The 10 th Research Institute of China Electronic Technology Group Corporation, Chengdu 610036, China;
    3. School of Electronics and Information, Jiangsu University of Science and Technology, Zhenjiang 212003, Jiangsu Province, China
  • Received:2018-01-31 Online:2018-03-31 Published:2018-03-31

摘要:

考虑流水印在多种复杂网络数据流类型下的差异,设计基于总包数、平均包间隔和字节对称度的网络数据流预分组机制.在数据流预分组的基础上,依据时隙质心类网络流水印对数据流统计特性的影响,提出基于联合质心熵的网络流水印自适应检测方案.在部署的不同业务类型的匿名通信系统Tor数据流下的实验结果表明,所提出的自适应检测方法可以有效提高针对随机多密钥时隙质心类流水印的检测性能.

关键词: 预分组, 匿名通信, 网络流水印, 联合质心熵

Abstract:

Considering the differences of watermarking in various types of complex network trafc, a new pre-grouping mechanism based on total packets number, average packets interval and bytes symmetry is designed. On this basis, an adaptive network flow watermarking detection scheme based on joint centroid entropy is proposed with the exploitation of the statistic variation of network trafc which is caused by interval-based flow watermarking. Experimental results on different types of trafc in anonymous communication system Tor show that the proposed method can achieve higher detection accuracy for random multi-key interval centroid based watermarking.

Key words: joint centroid entropy, anonymous communication, network flow watermarking, pre-grouping

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