This book investigates the design and implementation of effective security solutions to secure and control unauthorized access or manipulation of pixels within a digital image or graphical user interface, and their integration in multimedia applications to ensure authenticity and integrity in the digital age.
Emerging and pivotal technologies such as artificial intelligence and deep learning, cloud computing, internet of things, blockchain, encryption, and quantum cryptography are required to meet multimedia data's evolving needs and security requirements. In digital imaging, a pixel is the smallest element of an image that can be manipulated through software. Pixels within a digital image or graphical user interface must be secured to control unauthorized access or manipulation.
In this edited book, the contributors investigate the design and implementation of effective security solutions and their integration in multimedia applications to ensure authenticity and integrity in the digital age. Coverage includes how to secure pixels within a digital image or graphical user interface to control unauthorized access or manipulation.
Fortressing Pixels: Information security for images, videos, audio and beyond is intended to equip readers with the knowledge and mechanisms required to safeguard assets and protect their innovative creations, business interests, and private sensitive data. Academic researchers and engineers, will find a useful resource in this book, as will industry technology professionals working in cybersecurity, forensics, computing, networking, image processing and multimedia data science.
Chapter 1: A perceptual image hashing using a CSLBP-based method
Chapter 2: ECG signal protection using redundant discrete wavelet
transform-based data hiding
Chapter 3: A blind watermarking framework for authentication of digital
images
Chapter 4: Exploring technological trend and collaboration analysis in
reversible data hiding in encrypted images
Chapter 5: Blockchain architecture, consensus mechanisms, and their
applications in watermarking
Chapter 6: Cloud-based analysis with quantum cryptography-based cloud
security model (QC-CSM) for enhanced data security in storage and access
Chapter 7: An improved deep reinforcement learning approach for
security-aware virtual network embedding algorithm
Chapter 8: Demystifying IoT, cloud, and blockchain for multimedia security -
a scientific study
Chapter 9: Bibliometric analysis and research trends in image encryption:
securing sensitive visual content (2020-2024)
Chapter 10: Privacy protection of medical data using NTRU-based post-quantum
cryptography
Chapter 11: Advances in image steganography: a survey of methods, metrics,
and emerging trends across domains
Chapter 12: Video tampering detection: deep learning techniques for temporal
and motion artifacts
Subhrajyoti Deb is an academic and researcher in cryptography, multimedia security, and IoT, currently serving as an assistant professor at IIIT Bhopal. He earned his PhD from NEHU Shillong and completed postdoctoral work at ISI Kolkata. A Visvesvaraya PhD Fellow, he has published 20 SCI-indexed papers, authored two books, and holds two patents. His research emphasizes lightweight encryption and secure systems. He has collaborated internationally, mentored many scholars, and actively reviews for top-tier journals.
Adnan Abdul-Aziz Gutub is a full professor in the Computer Engineering Department at the College of Computers and Information Systems, Umm Al-Qura University (UQU), Makkah, Saudi Arabia. where he specializes in information and computer security. His main research interests involve optimizing, modeling, simulating, and synthesizing of VLSI hardware for crypto and security computer arithmetic operations. He is working on designing efficient integrated circuits for the Montgomery inverse computation in different finite fields.
Aditya Kumar Sahu is associated with the Department of Computer Science and Engineering, SRM University-AP, India. He is working in the research areas of multimedia forensics, digital image watermarking, image tamper detection and localization, image steganography, reversible data hiding, and convolution neural-network-based data hiding. He has authored 50+ publications. He is an associate editor or editorial board member for various journals in his field.
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