语义空间下基于情感表达的生成式文本隐写方法  

Generative text steganography method based on emotional expression in semantic space

作　　者：刘玉玲 王翠林 付章杰[2] LIU Yuling;WANG Cuilin;FU Zhangjie(School of Computer Science and Electronic Engineering,Hunan University,Changsha 410082,China;School of Computer Science,Nanjing University of Information Science and Technology,Nanjing 210044,China)

机构地区：[1]湖南大学信息科学与工程学院,湖南长沙410082 [2]南京信息工程大学计算机学院、软件学院、网络空间安全学院,江苏南京210044

出　　处：《通信学报》2023年第4期176-186,共11页Journal on Communications

基　　金：国家自然科学基金资助项目(No.61872134);教育部科技发展中心基金资助项目(No.2019J01020);长沙市科技计划基金资助项目(No.Kh2004004);湖南省交通运输厅科技计划基金资助项目(No.201935)。

摘　　要：针对现有生成式文本隐写方法存在的“过度优化”文本质量以及生成的隐写文本在语义表达上缺乏约束等问题,提出了一种在语义空间下基于情感表达的生成式文本隐写方法。该方法利用新媒体平台提供的情景融合的伪装场景,研究如何利用无监督抽取模型从原始数据集中抽取情感表达组合候选集合,并基于改进的二部图排序算法对情感表达组合候选集合进行排序,得到情感表达组合集合;然后将其映射到语义空间,实现基于情感表达组合生成用户观点的同时嵌入秘密信息。实验结果表明,与同类语义空间下生成式文本隐写方法相比,所提方法生成的含密商品评论的困惑度最低可达10.536,且含密商品评论与主题具有较强相关性,进一步保证了隐写文本的认知隐蔽性,同时所提方法还可有效地用于安全保密通信领域,能够避免发送方被追踪溯源和关联分析。Aiming at the problems that“over optimizing”the quality of steganographic text and lack of constraints on the semantic expression of the generated steganographic text in existing generative text steganography methods,a generative text steganography method was proposed based on emotional expression in semantic space.In order to make use of the scene fusion provided by the new media platform to obtain many camouflage scenes,the focus was how to use the unsupervised extraction model to extract the emotional expression combination candidate set from the original data set,then sort the candidate set of emotional expression combinations based on the improved bipartite graph sorting algorithm to obtain the emotional expression combination set,map them to the semantic space,and then implement embedding secret information while generating the user’s opinions based on the emotion expression combinations.Experimental results show that,compared with the existing generative text steganography methods in semantic space,the product reviews generated by the proposed method have a minimum perplexity of 10.536,and have a strong correlation with the chosen product,which can further guarantee the cognitive concealment of steganographic texts.At the same time,the proposed method can also be effectively used in the field of secure and confidential communication,and can avoid the senders being traced and analyzed.

关 键 词：生成式文本隐写 语义空间 无监督抽取模型 情感表达 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]