Research On Text Information Hiding Algorithms

With the progress of science and technology,the 21 st century has become an era of information explosion.People can more easily access to all kinds of information,however,at the same time,information security is also facing unprecedented challenges.Information hiding is one of the categories of secure communication.By means of information hiding technology,secret information can be hidden in ordinary carriers to transmit information without being noticed.Text information is the most common transmission carrier in life,but because of its low redundancy,it develops slowly compared with image,video and other carriers.Traditional text information hiding is realized by modifying the carrier,which has some problems such as poor robustness and difficulty in finding the carrier.In recent years,“search-based” coverless information hiding avoids modifying the carrier,but its embedding rate is generally low and transmission efficiency is difficult to be guaranteed.In order to improve the security and transmission efficiency of information hiding,this thesis proposes two text information hiding algorithms based on “generative-based” coverless information hiding.The specific contents are as follows:(1)A coverless text information hiding algorithm based on the structure of Chinese characters is proposed.Based on the morphological characteristics of Chinese characters,this algorithm splits secret information according to the mathematical expression of Chinese characters,organizes it into the form of digital sequence,then transforms it into English letters through mapping relationship,finally generates a new cryptographic carrier and transmits it.This algorithm starts with the structural characteristics of Chinese characters and hides secret information through transformation,encryption and generation.The experimental results show that the hiding success rate of the algorithm can reach more than 99%,which effectively improves the communication success rate.At the same time,the algorithm has good security and embedding rate.(2)A coverless text information hiding algorithm based on multi-linguistic features is proposed.This algorithm combines multi-linguistic features into information hiding,breaking the limitation that previous information hiding try to find solutions in only one language.This algorithm makes use of the similarity between Chinese and English,through the translation between Chinese and English,character conversion and automatic generation of Chinese,realizes the hiding of secret information.This thesis theoretically demonstrates the feasibility and validity of using the characteristics of Chinese and English to hide information,and carries out a large number of related experiments.The experimental results show that the algorithm can resist the attack of existing detection methods,has good security and robustness,and its average embedding rate can reach 23.1%.Compared with the traditional text information hiding algorithm and the "search-based" coverless information hiding algorithm,the algorithm has greatly improved.In conclusion,this thesis puts forward two kinds of "generative" text coverless information hiding algorithm,the proposed angle of algorithm is different from before,can be a good work to achieve information hiding.The experimental results show that the two algorithms perform well in security and robustness.They are not easy to be detected and attacked to cause information leakage.At the same time,the embedding rate of the two algorithms has greatly improved compared with the previous algorithms,which can effectively improve the efficiency of information transmission.