Coverless Text Hiding Method Based on Improved Evaluation Index and One-Bit Embedding
作者机构：School of Information Science and EngineeringLanzhou UniversityLanzhou730000China School of Computer Science&Artificial Intelligence Lanzhou Institute of TechnologyLanzhou730050China Department of Electronic EngineeringTsinghua UniversityBeijing100084China School of Electronic and Electrical EngineeringLanzhou Petrochemical PolytechnicLanzhou730060China School of Electrical EngineeringLanzhou Institute of TechnologyLanzhou730050China
出 版 物：《Computer Modeling in Engineering & Sciences》 (工程与科学中的计算机建模（英文）)
年 卷 期：2020年第124卷第9期
页 面：1035-1048页
核心收录：
学科分类：0502[文学-外国语言文学] 050201[文学-英语语言文学] 05[文学]
基 金：This work is supported under the National Key Research and Development Program of China(2018YFB1003205) in part under the 2019 Longyuan Youth Innovation and Entrepreneurship Talents(Team)Project(GanZuTongZiNo.39)(No.23)
主 题：Coverless text steganography Markov chain evaluation index onebit embedding
摘 要：In the field of information hiding,text is less redundant,which leads to less space to hide information and challenging work for *** on the Markov chain model,this paper proposes an improved evaluation index and onebit embedding coverless text steganography *** the steganography process,this method did not simply take the transition probability as the optimization basis of the steganography model,but combined it with the sentence length in the corresponding nodes in the model to gauge sentence *** on this,only two optimal conjunctions of the current words are retained in the method to generate sentences of higher *** the size of the training text dataset is generally large,this leads to higher complexity of the steganographic model;hence,fewer repetitions of the generated steganographic sentences *** datasets and methods were selected to test the quality of the *** results indicate that our method can achieve higher hiding capacity and has better concealment capability.
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