Digital Image Security

This book will highlight cutting-edge research with a particular emphasis on interdisciplinary approaches, novel techniques, and solutions to provide digital image security for applications in diverse areas. It further discusses important topics such as biometric imaging, big data security and privacy in healthcare, security and privacy in the internet of things, and security in cloud-based image processing.

This book

• Presents new ideas, approaches, theories, and practices with a focus on digital image security and privacy solutions for real-world applications.
• Discusses security in cloud-based image processing for smart city applications.
• Provides an overview of innovative security techniques that are being developed to ensure the guaranteed authenticity of transmitted, shared, or stored digital images.
• Highlights approaches such as watermarking, blockchain, and hashing. to secure digital images in artificial intelligence, machine learning, cloud computing, and temper detection environments.
• Explains important topics such as biometric imaging, blockchain for digital data security, and protection systems against personal identity theft.

It will serve as an ideal reference text for senior undergraduate, graduate students, academic researchers, and professionals in the fields including electrical engineering, electronics, communications engineering, and computer engineering.

Amit Kumar Singh is an Associate Professor in the Computer Science and Engineering Department, National Institute of Technology Patna, Bihar, India. He has authored over 250 peer-reviewed journals, conference publications, and book chapters. Dr. Singh has been recognized in the "WORLD RANKING OF TOP 2% SCIENTISTS" in "Biomedical Research" (2019) and "Artificial Intelligence & Image Processing" (2020), according to the survey given by Stanford University, USA. Dr. Singh is the associate editor of IEEE Trans. Multimedia, IEEE Trans. Ind. Informat, IEEE Trans. Computat. Social Syst, ACM Trans. Multimedia Comput. Commun. Appl., IEEE J. Biomed. Heal. Informatics, among others. Dr. Singh is the series editor of The IET International Book Series on Multimedia Information Processing and Security. He has edited various international journal special issues as a lead guest editor on publications such as ACM Transactions on Multimedia Computing, Communications, and Applications; ACM Transactions on Internet Technology; IEEE Transactions on Industrial Informatics; IEEE Journal of Biomedical and Health Informatics; IEEE Multimedia; IEEE Access; Multimedia Tools and Applications, Springer; International Journal of Information Management, Elsevier; Journal of Ambient Intelligence and Humanized Computing, among others. His research interests include multimedia data hiding, image processing, biometrics, and cryptography.

Stefano Berretti is an Associate Professor at the Media Integration and Communication Center (MICC) and at the Department of Information Engineering (DINFO) of the University of Florence (UNIFI), Florence, Italy. His research interests are Computer Vision, Artificial Intelligence and Multimedia. During his Ph.D. and post-doc, he worked on image databases for effective and efficient image retrieval based on color, shape attributes, and spatial relationships. He also investigated the problem of retrieval from repositories distributed on the net using resource selection and results fusion. He provided several contributions on 3D object retrieval and partitioning, face biometrics (from 2D and 3D data), facial expression and emotion recognition (from 3D and 3D dynamic data), human action recognition from depth data, and 3D surface descriptors for relief patterns classification. He recently extended his interests to deep learning methods for face recognition and to their generalization to non-Euclidean domains (i.e., graphs, meshes, manifolds, etc.). He is a member of the Italian Association for "Computer Vision, Pattern Recognition and Machine Learning" (CVPL), previously known as "Group of Italian Researchers on Pattern Recognition" (GIRPR), affiliated to the International Association on Pattern Recognition (IAPR) of the Computer Vision Foundation (CVF) of ACM, Eurographics, and a senior member of the IEEE. He has been the Information Director of the ACM Transactions on Multimedia Computing, Communications, and Applications (ACM TOMM) and is now an Associate Editor for ACM TOMM, IEEE TCSVT, the IET Computer Vision journal, and the MDPI Sensors journal. He has also organized special issues of highly ranked journals (ACM TOMM, IEEE J-BHI, CAG Elsevier, IEEE TII) and served as editor of several books. He has been general chair, program chair, and area chair of several conferences and workshops.

Ashisma Anand is an Assistant Professor in the Computer Science and Engineering Department, Thapar Institute of Engineering and Technology, Thaper University, Patiala, Punjab. She earned a Ph.D. from the National Institute of Technology, Patna, in 2021 and a B.Tech from the National Institute of Technology, Hamirpur, in 2017. She has authored many peer-reviewed journals and conferences in repute. Her areas of specialization are Data Hiding methods, Digital Image Processing, Information Security, and Cryptography.

Amrit Kumar Agrawal is an Associate Professor in the Department of Computer Science and Engineering, Sharda University, Greater Noida. He earned his Ph.D. in Computer Science & Engineering from Dr. APJ Abdul Kalam Technical University, Lucknow, Uttar Pradesh, India, in June 2020; M.Tech. (Gold Medalist) in Computer Science and Engineering from Jaypee University of Information Technology (JUIT), Waknaghat, Solan, Himachal Pradesh, in 2010; and B.Tech. in Computer Science and Engineering from UNS, Institute of Engineering and Technology, Veer Bahadur Singh Purvanchal University, Jaunpur, Uttar Pradesh, in 2005. He has authored many peer-reviewed journals and conferences in repute. His research interests include Biometrics, Image Analysis, and Image Security.