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Combination of Cryptography based in ANN and Steganography based in CNN for Encryption and Decryption
Author Name : Rajasekhar Atla, Sanjeev Kumar Reddy Gangireddy, Tharun Kumar Bayineni, Harshitha Kamireddy, Sumanth Kandala
DOI: https://doi.org/11.56025/IJARESM.2023.113231115
In this paper, a combination of Cryptography based in ANN and Steganography based in CNN for encryption and decryption is proposed. The process of converting ordinary and plain text into unintelligible text and vice versa is known as cryptography. Steganography is an art of hiding the data inside another file of similar or varying types. In this method, data is stored and transmitted in a specific form in order to make it available for only one particular person to read and process. Its importance lies in the fact that it protects data from hacking and alternation while making it useful for user authentication. However security is one of the major issues but the effective encryption text also required in now-a-days. Artificial Intelligence, Machine Learning and Deep Learning are performed well in all type of categories such as weather prediction, human detection and many others. Along with them the data security can also be obtained with the help of the cryptography based machine learning model. Our proposed methodology is combination of cryptography based in ANN and steganography based in CNN for encryption and decryption. We include all types of advanced methods such as combination of cryptography and steganography, ANN and CNN combination of image and text-based. This method targets both the text encryption of cryptography ANN and hide the encrypted text in image of steganography CNN based and make data hiding secure.
Keywords: Convolutional Neural Networks (CNN), Artificial Neural Networks (ANN), Cryptography, Steganography, Encryption, Decryption.