Call for Book Chapter
Data Privacy and Digital Trust in the Smart Era
(Scopus)
CHAPTER TITLES
Introduction to Data Privacy and Digital Trust
Overview of privacy concepts, trust models, and ethical principles in the digital landscape.Cryptography and Privacy-Preserving Mechanisms
Encryption techniques, homomorphic encryption, and secure key management.Blockchain and Distributed Ledger Technologies for Digital Trust
Decentralized trust models, smart contracts, and immutable records.Privacy-Preserving Machine Learning and Federated Learning
Techniques to ensure model utility without compromising user data.Zero-Trust Architectures and Secure Access Frameworks
Implementation of zero-trust networks in enterprise and cloud settings.Identity Management and Digital Authentication Systems
Modern identity frameworks, biometrics, and multi-factor authentication.Data Privacy in Internet of Things (IoT) Environments
Challenges of securing sensor data and device communications.Privacy and Trust in Cloud and Edge Computing
Secure computation, access control, and trust evaluation mechanisms.AI and Big Data Ethics: Balancing Innovation and Privacy
Responsible AI, auditability, and transparent data usage.Cybersecurity Threats to Privacy in the Smart Era
Emerging attacks, ransomware, and techniques for resilience.User Perception and Psychology of Digital Trust
How trust is formed, maintained, lost in digital interactions.Social Media Privacy and Digital Identity Management
Data exploitation, misinformation, and control of personal digital footprints.Emerging Trends and the Future of Privacy in Smart Systems
Quantum-safe privacy, AI governance, and privacy-by-design innovations.
Editors / Coordinators
Dr. Sivaanesan Bala Krishnan
SIT Teaching and Learning Academy,
Nanyang Technological University, Singapore
Dr. Sukhpreet Kaur
Chandigarh Engineering College-CEC, Landran, Mohali
Dr. Parveen Kumar Sharma
Panipat Institute of Engineering & Technology, Panipat
Dr. Naveen Verma
Panipat Institute of Engineering & Technology, Panipat
Dr. Dinesh Kumar Garg
Panipat Institute of Engineering & Technology, Panipat
Prof. Monica Sherawat
School of Computer Engineering and Applied Sciences,
Seneca College, Toronto, Ontario, Canada
Important Dates
February 20, 2026
Abstract Submission Deadline
April 01, 2026
Full Chapter Submission
April 30, 2026
Acceptance Notification
May 30, 2026
Final Submission (Camera Ready)
Submission Guidelines
Chapter Length: Each chapter should be 20–25 pages (including figures, tables, and references).
Similarity Index: Must be less than 15% and AI content must be 0%.
Scope Compliance: Please ensure the chapter falls within the scope and themes of the book.
Submission Email: All chapter submissions should be sent to:
📧 bookchapter2026@gmail.com
SUGGESTION
Authors are encouraged to add more content related to AI, especially AI model training data privacy and data leakage from AI models.
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