Enhancing Steganography Through Deep Learning Approaches

Enhancing Steganography Through Deep Learning Approaches

Vijay Kumar, Chiranji Lal Chowdhary, Shakila Basheer, Srinath Doss, Sandeep Singh Sengar
Pages: 300
DOI: 10.4018/979-8-3693-2223-9
ISBN13: 9798369322239|EISBN13: 9798369322246
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Description & Coverage
Description:

In today's hyper-connected world, securing sensitive information has become paramount. As digital transmission systems continue to evolve, so do the methods of intrusion and data theft. This proposed book aims to explore the integration of steganography with cutting-edge deep-learning techniques to fortify the security of digital communication channels. By blending the ancient art of steganography with the power of deep learning, this book seeks to address critical issues in national information security, business and personal privacy, property security, counterterrorism, and internet security.

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Editor/Author Biographies
Chiranji Lal Chowdhary received his Ph.D. in information technology and engineering from VIT; his M.Tech. in computer science and engineering from MSRIT, VTU, Belagavi; and his B.E. in computer science and engineering from MBMEC, JNVU India. He is currently working as an Associate Professor in the SITE, VIT. He has 15 years of experience in academia and 6 months of experience in the industry. He has received research awards for publishing research papers in refereed journals from VIT 5 times consecutively. He has guided more than 20 graduate projects and more than 20 postgraduate level projects. His publications are indexed by the Clarivate Analytics, IEEE, SCOPUS, ACM, and other abstract and citation databases. He is a reviewer for many reputed journals. He is a life member of CSI, ISCA, and ISCA. He has published many papers in refereed journals and has attended international conferences. He has contributed many chapters and is currently in the process of editing books. He has written 3 books and edited 3 books with a reputed publisher. His current research included digital image processing, deep learning, pattern recognition, soft computing, and biometric systems.
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