Fortressing Pixels
Information security for images, videos, audio and beyond
Will be published approx. on 16. December 2025
Book
Hardback
296 pages
978-1-83724-163-7 (ISBN)
Description
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.
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.
More details
Series
Language
English
Place of publication
Stevenage
United Kingdom
Target group
College/higher education
Professional and scholarly
Product notice
sewn/stitched
Cloth over boards
Dimensions
Height: 234 mm
Width: 156 mm
Thickness: 19 mm
Weight
626 gr
ISBN-13
978-1-83724-163-7 (9781837241637)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
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.
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.
Editor
Assistant ProfessorIndian Institute of Information Technology Bhopal (IIIT Bhopal), Department of Information Technology, India
Full ProfessorUmm Al-Qura University (UQU), College of Computers and Information Systems, Makkah, Saudi Arabia
SRM University-AP, Department of Computer Science and Engineering, India
Content
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 It's 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 & 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
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 It's 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 & 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