Information hiding algorithm in compressive sensing encrypted domain based on homomorphism addition
Information hiding ensures necessary security of massive data in the cloud and Internet of things environments.Although traditional encryption can protect the privacy of the image effectively,it cannot protect the image in other aspects such as copyright and integrity.Therefore,information hiding in encrypted domain is required and challenged.An information hiding scheme in homomorphic encrypt-ed domain is proposed.Firstly,the homomorphism of compressive sensing is explored,and it is found that doubling the measurements obtained by compressive sensing is equivalent to directly extending the original signal before compressive sensing.Secondly,by using homomorphic addition,information hid-ing in the compressive sensing encrypted domain is realized based on differential extension.The experi-mental simulation results show that the proposed algorithm has satisfactory performances in both priva-cy protection and information hiding,and the embedding capacity is higher than the related state of art works.
万方数据
维普
