基于平滑分组的分组间隔时间流水印方法
发布时间:2019-04-11 09:22
【摘要】:针对现有基于时间信道的主动网络流水印技术缺少自纠错和难以抵御熵值隐蔽性嗅探的缺陷,提出一种基于平滑分组的分组间隔时间流水印方法。利用卷积码扩展水印信息,并采用平滑分组的方法将水印信息嵌入数据分组流中,通过交替调制数据分组间隔时间,使水印数据流的分组间隔分布特征无限逼近于正常的网络流,有效降低了数据分组在传输过程中遇到的时延抖动、分组丢失、分组合并、分组分片等因素干扰。理论分析和实验结果均表明,与现有的数据分组流水印技术相比,该方法具有检测准确度高、顽健性和隐蔽性好的特点。
[Abstract]:In view of the lack of self-error correction and the difficulty to resist entropy covert sniffing, a packet interval time stream watermarking method based on smooth packets is proposed for the existing time channel based active network pipelining techniques, which are short of self-error correction and difficult to resist entropy covert sniffing. The watermark information is extended by convolutional code, and the watermark information is embedded into the data packet stream by means of smooth grouping, and the data packet interval time is modulated alternately. In order to reduce the delay jitter, packet loss, packet merging, packet fragmentation and so on, the packet interval distribution of the watermark data stream is infinitely approximated to the normal network flow, which effectively reduces the delay jitter, packet loss, packet merging, packet fragmentation and other factors encountered in the transmission process of the data packet. Both theoretical analysis and experimental results show that the proposed method has the advantages of high detection accuracy, robustness and concealment compared with the existing data packet stream watermarking technique.
【作者单位】: 江苏大学计算机科学与通信工程学院;
【基金】:国家自然科学基金资助项目(No.61672269) 江苏省科技成果转化基金资助项目(No.BA2015161)~~
【分类号】:TN918
[Abstract]:In view of the lack of self-error correction and the difficulty to resist entropy covert sniffing, a packet interval time stream watermarking method based on smooth packets is proposed for the existing time channel based active network pipelining techniques, which are short of self-error correction and difficult to resist entropy covert sniffing. The watermark information is extended by convolutional code, and the watermark information is embedded into the data packet stream by means of smooth grouping, and the data packet interval time is modulated alternately. In order to reduce the delay jitter, packet loss, packet merging, packet fragmentation and so on, the packet interval distribution of the watermark data stream is infinitely approximated to the normal network flow, which effectively reduces the delay jitter, packet loss, packet merging, packet fragmentation and other factors encountered in the transmission process of the data packet. Both theoretical analysis and experimental results show that the proposed method has the advantages of high detection accuracy, robustness and concealment compared with the existing data packet stream watermarking technique.
【作者单位】: 江苏大学计算机科学与通信工程学院;
【基金】:国家自然科学基金资助项目(No.61672269) 江苏省科技成果转化基金资助项目(No.BA2015161)~~
【分类号】:TN918
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