Abstract: Technological advancements empower multimedia data exchange within IoT, posing security risks. Steganography, bolstered by deep learning, complements encryption, enhancing concealment and detection. Categorization, methodologies, and evaluation metrics drive innovation in image and video steganography. ISN and video techniques increase capacity while ensuring quality. Robust defences against steganalysis are imperative for safeguarding sensitive data...
Keywords: Steganography, Cryptography, Multimedia data security, Deep learning, Convolutional Neural Networks (CNNs), Generative Adversarial Networks (GANs)
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DOI:
10.17148/IJARCCE.2024.13520
