宋词自动生成的信息隐藏算法  

Information Steganography Algorithm for Automatic Generation of Song Ci

作　　者：杨婉霞 陈帅 管磊 杨忠良[2,4] YANG Wanxia;CHEN Shuai;GUAN Lei;YANG Zhongliang(College of Mechanical and Electrical Engineering,Gansu Agricultural University,Lanzhou 730070,China;Institute for Electronics and Information Technology in Tianjin,Tsinghua University,Tianjin 300467,China;Network Security Bureau of the Ministry of Public Security,Beijing 100006,China;Department of Electronic Engineering,Tsinghua University,Beijing 100084,China;The First Research Institute of the Ministry of Public Security,Beijing 100044,China)

机构地区：[1]甘肃农业大学机电工程学院,兰州730070 [2]清华大学天津电子信息研究院,天津300467 [3]公安部网络安全保卫局,北京100006 [4]清华大学电子工程系,北京100084 [5]公安部第一研究所,北京100044

出　　处：《信息网络安全》2022年第7期46-54,共9页Netinfo Security

基　　金：国家自然科学基金[61862002]。

摘　　要：传统的文本隐写方案很难均衡隐藏容量和隐蔽性之间的矛盾。利用宋词载体语义丰富、句法灵活的特点,文章提出BERT(Bidirectional Encoder Representations from Transformers)词嵌入结合Attention机制的Seq2Seq模型生成隐写宋词的算法。该算法采用BERT词嵌入作为生成模型的语义向量转换部分,其丰富的词向量空间保证了生成句子间语义的连贯性,提高了生成宋词的质量。另外,该算法采用格律模板和互信息选词方法约束隐写语句的生成,增强了隐藏算法的安全性。通过与现有文本隐藏算法在嵌入率方面的对比实验和分析表明,文章所提算法的嵌入率相比Ci-stega提高了7%以上,且在安全性和鲁棒性方面均有良好的表现。It is hard to balance the contradiction between hiding capacity and imperceptibility by traditional text steganography methods.Taking advantage of the semantic richness and syntactic flexibility of Song Ci,an algorithm to generate steganographic Song Ci based on the Seq2Seq model with bidirectional encoder representation from transformers(BERT)and attention mechanism was proposed in this paper.BERT was used as the semantic vector transformation in the generation model.Its rich word vector space ensured the semantic coherence between the generated sentences and improved the quality of the generated Song Ci.In addition,the algorithm designed the word selection method using the rule template and mutual information to restrict the generation of steganographic sentences,which enhanced the security of the hiding algorithm.Compared with the existing and advanced text information hiding algorithms,the experimental results indicate that the embedding rate of the algorithm proposed in this paper is improved by more than 7%in comparison with Ci-stega,and it has good performance in security and robustness.

关 键 词：文本信息隐藏 宋词 格律模板 互信息 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]