Research On The Application Of Image Secret Sharing

An important branch of image secret sharing cryptography research field is applied to secret communication,key management,and information hiding.Traditional secret sharing techniques are transmitted in cipher text,which is more likely to attract the attention of attackers.In contrast,secret sharing techniques that use images as carriers for transmission are less susceptible to attackers' suspicions and have better confidentiality.In recent years,image secret sharing technology has been the focus of academic research,and its existence has been increasing in application scenarios.This thesis is a study on the application techniques of image secret sharing,and the main works are as follows.(1)A(t,n)threshold lossless and efficient color image secret sharing information hiding algorithm based on the Chinese residual theorem(CRT)is proposed.The scheme combines CRT-based secret sharing with DCT information hiding technology to guarantee the security of transmitting color secret images.At the generation side,the DCT information hiding algorithm is used to embed the color secret image generated by CRT into the color carrier image provided by the user and distribute it.At the recovery end,the shadow image is extracted and the color secret image is recovered using CRT.The experimental results show that the algorithm can recover the secret image losslessly,the shadow image pixel values are approximately uniformly distributed,and no pixel expansion is generated,and the scheme has high efficiency compared to other schemes.(2)A lossless threshold color image secret sharing algorithm based on attribute based encryption(CP-ABE),linear secret sharing scheme(LSSS)and discrete cosine transform(DCT)is proposed based on attribute LSSS.At the generation side,the color secret image generated by CP-ABE is embedded into the color carrier image provided by the user and distributed by using DCT information hiding algorithm.At the recovery side,the shadow image is extracted and the color secret image is recovered using LSSS.The algorithm can construct a matrix for secret sharing by abstracting the access policy in realistic search scenarios,and achieves the integration of secret sharing computation with realistic requirements.The experimental results show that the algorithm can recover the secret image losslessly,and the secret sharing image pixels are uniformly distributed with good security.(3)A trustless central secret sharing algorithm based on matrix operations,blackbox and discrete cosine transform(DCT)is proposed.Using the DCT information hiding algorithm,a color secret shadow image is generated by Blackbox authentication combined with matrix operations and embedded into the color carrier image provided by the user.The shadow image is extracted at the recovery end and the color secret image is recovered using Lagrangian interpolation theorem.The experimental results show that the algorithm solves the problem of traditional image secret sharing algorithms that require a trusted third party to handle the poor security of the sub-secret sharing copy.