Data Science and Intelligent Computing Techniques
Deep Learning-Based Data Hiding
Authors: Sukanya Dutta, Supratim Maity and Hirak Kumar Maity
Publishing Date: 05-11-2023
ISBN: 978-81-955020-2-8
Abstract
Data hiding, also known as steganography, is an essential technique for concealing sensitive information within digital media to ensure secure communication and protect data confidentiality. After 1950, in recent years, deep learning methods have revolutionized various domains, including computer vision and natural language processing. This paper introduces a robust watermark embedding technique using CNN (Convolutional Neural Network). By leveraging the power of deep neural networks and using the transform domain technique as DWT (Discrete Wavelet Transform) and also the domain-specific technique as SVD (Singular Value Decomposition), we propose an efficient and robust data-hiding framework that surpasses traditional methods in terms of capacity, security, and imperceptibility. Experimental results demonstrate the effectiveness of our proposed approach in various scenarios, highlighting its potential for real-world applications.
Keywords
Deep learning, Data hiding, Steganography, Convolutional neural networks, Information security, Imperceptibility
Cite as
Sukanya Dutta, Supratim Maity and Hirak Kumar Maity, "Deep Learning-Based Data Hiding", In: Satyasai Jagannath Nanda and Rajendra Prasad Yadav (eds), Data Science and Intelligent Computing Techniques, SCRS, India, 2023, pp. 551-567. https://doi.org/10.56155/978-81-955020-2-8-51