The image processing application is very powerful in current technology to provide robust security. In traditional image steganography, the message is embedded in an image with a modification called a cover image. The coverless steganography is used to conceal the hidden message without changing the cover image. To generate stego pictures, deep Coevolutionary Generative Adversary Networks are used. Cryptography is the method of protecting information by encryption and decryption. AES is an iterative method for cryptography. It's based on the “replacement-permutation network.” It has a set of interconnected processes that replace inputs for specified outputs and rearrange bits called permutations. In this research work, the secret message undergoes encryption by AES. The encrypted message is hidden in the cover image developed using DCGAN. By combining cryptography and steganography, one cannot reveal the secret message. One can achieve payload and high quality of stego images. In this paper, different Stenographic and cryptographic models are reviewed and identify demerits of conventional models, finally suggesting a good Security application for future generations.


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    Titel :

    Hiding Data By Combining AES Cryptography With Coverless Image Steganography Using DCGAN: A Review


    Beteiligte:


    Erscheinungsdatum :

    02.12.2021


    Format / Umfang :

    1133734 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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