Enhancing Steganography Through Deep Learning Approaches

Descripción:

In an era defined by digital connectivity, securing sensitive information against cyber threats is a pressing concern. As digital transmission systems advance, so do the methods of intrusion and data theft. Traditional security measures often need to catch up in safeguarding against sophisticated cyber-attacks. This book presents a timely solution by integrating steganography, the ancient art of concealing information, with cutting-edge deep learning techniques. By blending these two technologies, the book offers a comprehensive approach to fortifying the security of digital communication channels. Enhancing Steganography Through Deep Learning Approaches addresses critical issues in national information security, business and personal privacy, property security, counterterrorism, and internet security. It thoroughly explores steganography's application in bolstering security across various domains. Readers will gain insights into the fusion of deep learning and steganography for advanced encryption and data protection, along with innovative steganographic techniques for securing physical and intellectual property. The book also delves into real-world examples of thwarting malicious activities using deep learning-enhanced steganography. This book is tailored for academics and researchers in Artificial Intelligence, postgraduate students seeking in-depth knowledge in AI and deep learning, smart computing practitioners, data analysis professionals, and security sector professionals. It is a valuable resource for those looking to incorporate advanced security measures into their products and services. With a focus on practical insights and real-world applications, this book is an essential guide for understanding and implementing steganography and deep learning techniques to enhance security in digital transmission systems. N° de ref. del artículo LU-9798369349403

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Acerca de los autores: Vijay Kumar is Associate Professor and HoD in Information Technology Department, Dr B R Ambedkar NIT Jalandhar, Punjab. He received his Ph.D. degree from NIT Kuruksherta. Previously, he received M.Tech. and B.Tech. degrees from GJUS&T, Hisar and Kurukshetra University Kurukshetra, respectively. He has more than 3 years of teaching and research experience at NIT Hamirpur. Prior, he had 12 years of teaching experience in various reputed institutes like Manipal University Jaipur and Thapar University Patiala. He completed 2 DST SERB and 1 CSIR-sponsored research projects. He has published more than 180 research papers in International Journals/Conferences. He has many book chapters in international repute publishers. He has supervised many Ph.D. and M.Tech. thesis on Metaheuristics, Image Mining, and Data Clustering. He is the reviewer of several reputed SCI journals. He is member of ACM, CSI, International Association of Engineers, International Association of Computer Science and Information Technology, Singapore. His current research area is Soft Computing, Data Mining, Deep Learning, Steganography, and Pattern Recognition.

Chiranji Lal Chowdhary is a Professor in the SCORE at VIT University, where he has been since 2010. He received a B.E. (CSE) from MBM Engineering College (currently named MBM University) at Jodhpur, and M. Tech. (CSE) from the M.S. Ramaiah Institute of Technology in Bangalore. He received his PhD in Information Technology and Engineering from the VIT University Vellore. From 2006 to 2010 he worked at MSRIT in Bangalore, eventually as a Lecturer. His research interests span both computer vision and image processing. Much of his work has been on images, mainly through the application of image processing, computer vision, pattern recognition, machine learning, biometric systems, deep learning, soft computing, and computational intelligence. Professor Chowdhary is editor/co-editor of 8 books and is the author of over forty articles on computer science. He filed four patents deriving from his research. Austrian Science Fund (FWF), Vienna, Austria identified him as International Reviewer forlong-term funding projects at Austria. He also has an ongoing sponsored project from British council through SPARC as Co-PI.

Srinath Doss is the Professor and Dean in the Faculty of Engineering and Technology, Botho University, responsible for Botswana, Lesotho, Eswatini, Namibia and Ghana Campuses. He has previously worked with various reputed Engineering colleges in India, and with Garyounis University, Libya. He has written good number of books and more than 80 papers in International Journals and attended several prestigious conferences. His research interests include MANET, Information Security, Network Security and Cryptography, Artificial Intelligence, Cloud Computing and Wireless and Sensor Network. He serves as an editorial member and reviewer for reputed international journals, and an advisory member for various prestigious conference. Prof. Srinath is member of IAENG and Associate Member in UACEE.

Sandeep Singh Sengar is a Senior Lecturer and Head of Computer Vision and Artificial Intelligence at Cardiff Metropolitan University, United Kingdom. He also holds the position of Cluster Leader for Computer Vision/Image Processing and British Computer Society representative at this place. Before joining this position, he worked as a Postdoctoral Research Fellow at the Machine Learning Section of the Computer Science Department, at the University of Copenhagen, Denmark. He completed his Ph.D. degree in Computer Vision at the Department of Computer Science and Engineering from the Indian Institute of Technology (ISM), Dhanbad, India, and an M. Tech. degree from Motilal Nehru National Institute of Technology, Allahabad, India. He is also a Fellow of UK Higher Education Academy, a Senior Member of IEEE, and a Professional Member of ACM. Dr. Sengar’s broader research interests include Machine/Deep Learning, Computer Vision, Image/Video Processing, and its applications. He has published several research articles in reputable international journals and conferences. He is an Editorial Board Member, Guest Editor, and Reviewer at reputable International Journals. He is a reviewer of research grants at EPSRC and Cardiff Met. He is a Board of Studies Member at Universal AI University, Mumbai, India. He is on the Ph.D. examiner panel of many reputable universities like the University of South Wales Cardiff, Indian Institute of Technology (IIT) Patna, National Institute of Technology (NIT) Hamirpur, NIT Srinagar, NIT Jalandhar, Visvesvaraya Technological University, Karnataka, Dr. A. P. J. Abdul Kalam Technical University Lucknow, Madan Mohan Malaviya University of Technology Gorakhpur, etc. He has also served as an Organizing Chair, Distinguished Guest, Publicity Chair, Publication & Technical Chair, and Committee Member (Steering, International Advisory, Scientific, and Technical Program) at International Conferences. In addition to these, he has also given many expert talks at different organizations and International Conferences across the globe.