Abstract
Secure transformation of data over public networks like the Internet is nothing but achieving authenticity, secrecy, and confidentiality in secure data transmission is now the primary concern. These issues may be solved by using data hiding techniques. Steganography, cryptography, and watermarking techniques are used to hide data and ensure its security during transmission. Objective of this submission is to analyze and examine several methods of deep learning in image cryptography and steganography. The hidden message is revealed via steganography, but its format is altered through cryptography. Steganography and cryptography are both essential and robust techniques. This paper’s primary goal is to explore several integrating steganography with encryption to create a hybrid system. In addition, specific differences were also given between cryptography and steganographic approaches. This paper aims to help other researchers’ summaries current trends, problems, and possible future directions in this area.
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Sandya, K., Kompella, S. (2023). A Combined Approach of Steganography and Cryptography with Generative Adversarial Networks: Survey. In: Bhateja, V., Sunitha, K.V.N., Chen, YW., Zhang, YD. (eds) Intelligent System Design. Lecture Notes in Networks and Systems, vol 494. Springer, Singapore. https://doi.org/10.1007/978-981-19-4863-3_18
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