Design And Research Of Low Density Information Hiding Algorithm Based On Multi-Carrier

Since the 1990s,information hiding technology has always been an important means to ensure the safe and reliable transmission of secret information,and it is also a hot spot for experts and scholars in the field of information security.The existing information hiding algorithms are mostly based on a single carrier.When the amount of hidden secret information is large,the performance of the algorithm will be degraded.If multiple carriers are used for information hiding,the embedded capacity of the secret information can be improved,and the density of information hiding can be reduced,and then the performance of the algorithm is improved.At the same time,the rapid growth of network bandwidth and data volume makes this multi-carrier information hiding algorithm physically achievable.Therefore,the information hiding algorithm with multiple models as the carrier has become a new research direction for experts in the field of information security.This paper mainly studies the low-density information hiding algorithm based on multi-carriers,focusing on multi-carrier processing and effective carrier labeling,secret information hiding area selection,secret information embedding rules and information hiding algorithm selection.Based on the above research,two information hiding algorithms based on multi-carrier are proposed:(1)Low-density 3D model information hiding algorithm based on multi-fusion state.The algorithm firstly locates,orients and shapes multiple 3D models by translation and scaling.Secondly,the 3D model is rotated at different angles,and the center points are fused to obtain multiple fused states.Again,the local height and Mean Shift clustering analysis algorithm are used to divide the vertices of the fused state model to obtain the vertices of different energies.Finally,the method of modifying the vertices coordinates is used to quickly hide the secret information that has been arbitrarily changed by Arnold.(2)Information hiding algorithm based on local image pixel statistics and QR code encoding.The algorithm first classifies the puzzle image by counting the largest number of pixel values in the picture;secondly,the carrier image is separately subjected to two YUV conversions and the image of the inter-plane image based on the generalized knight parade is scrambled to obtain the carrier hidden area;The large-capacity secret information is segmented and sorted and QR code-encoded;finally,the secret information is embedded on the bit-bit plane of the scrambled carrier to complete the concealment.In this paper,the proposed simulation experiment of low-density 3D model information hiding algorithm based on multi-fusion state is carried out.According to the comparison experiment results,the advantage of the algorithm compared with the comparison algorithm is that the robust BCR value increases by 7.59%on average,especially for For uniform compression attacks,the invisibility E~n value increased by an average of 4.89%.Another digital image information hiding algorithm based on local image pixel statistics and QR code encoding has a better robustness test value Q value of 0.19,and has good robustness against common attacks such as noise and compression.The invisibility PSNR value increased by an average of 7.74.The information hiding algorithm proposed by this paper with multiple 3D models or digital images as the carrier provides a new idea for the secure transmission of secret information.