Research On Reversible Data Hiding For Encrypted 3D Mesh Models

With the popularity of cloud storage,security issues such as privacy leakage and copyright infringement have frequently occurred.In order to solve this kind of problem,reversible data hiding in encrypted domain(RDH-ED)has been extensively studied.This technology can not only embed additional data in the ciphertext carrier,but the receiver can restore the original carrier without damage after extracting the additional data.It is suitable for sensitive fields such as cloud storage,military,medicine and law.As 3D models are widely used in various fields,it is inevitable to face security issues such as privacy leakage and copyright infringement.Therefore,designing RDH-ED based on 3D models has important practical significance.This paper uses the most commonly used 3D mesh in 3D models as the research carrier.By analyzing the advantages and disadvantages of existing related methods,two high-capacity RDH-ED methods are proposed.The main research work and results are summarized as follows:(1)Reversible data hiding in encrypted domain based on the most significant bit prediction and integer mappingThis research content proposes an RDH-ED method based on integer mapping and most significant bit(MSB)prediction,which effectively solves the low embedding capacity and large data extraction error rate in the Jiang et al.method.The proposed method further improves the embedding capacity through the MSB bit replacement.The average bit error rate of data extraction in Jiang et al.'s method is 4.22%,and the proposed method can correctly extract additional data from the ciphertext domain,and at the same time realize the separability of data extraction and mesh recovery.In addition,the ring prediction designed by the proposed method improves the accuracy of the prediction and ensures that the receiving end can obtain a highquality recovered mesh.(2)Reversible data hiding in encrypted domain based on the multiplication most significant bit prediction and integer mappingIn order to make full use of the local correlation between adjacent vertices of the mesh,the proposed method adopts multiplication most significant bit(Multi-MSB)embedding strategy to further improve the embedding capacity.A fully reversible recovery mesh can be obtained through the combination of ring prediction and parameter adjustment.The proposed method has no data extraction error rate,and data extraction and mesh recovery are separable.Experiments verify that the embedding capacity of the proposed method is better than the proposed 3D mesh RDH-ED methods.The research enriches the RDH-ED cover medium type and optimizes the method performance,which has certain significance and value.