Digital Image Security Techniques and Applications

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.

1. Covid-19 electronic health data security for smart hospitals. 2. Image Security using Quantum Hash Functions. 3. Post Quantum Image Security- Challenges and Opportunities. 4. Moving Towards 3D-Biometric. 5. A Secured Dual Image Watermarking technique using QR decomposition, Henon map and Chaotic encryption in wavelet domain and its authentication using BRISK Divyanshu. 6. Securing Digital Images Using HT-MSVD in Wavelet Domain. 7. Scalable Edge Computing Architecture for Multimedia Data Management: Challenges and Research Avenues. 8. Trustworthiness in Deepfake Detection using Explainability. 9. Cyber Threat Intelligence: A Standardized Protective Approach for Industrial Cyber Defence. 10. Watermarking with Blockchain: A Survey. 11. No Reference Medical Image Quality Assessment for Image security and Authorization. 12. Do digital images tell the truth? 13. A Multi-Layer Encryption with AES And Two Fish encryption algorithm for smart assistant Security. 14. Cancelable Biometrics for Fingerprint Template Protection. 15. Computational Intelligence: An Optimization Perspective for Data Privacy against adversaries

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 t