Secure Intelligent Sustainable Applications using IoT for Society 6.0
Internet of Things, Springer (Scopus Indexed) Electronic ISSN (2199-1081) Print ISSN (2199-1073)
🧭 About the Book
This book provides a comprehensive exploration of secure and intelligent applications using the Internet of Things (IoT), focusing on the latest techniques that combine artificial intelligence, lightweight cryptography, security frameworks etc for human centric applications as emphasized in Society 6.0 which expands this idea toward a human-centered, sustainable, and resilient future. Society 6.0 is focused on strong integration with the UN SDGs (Sustainable Development Goals) in development of real world applications and scenarios for better quality living of aging society and personalized healthcare along with other domains. Target is to expand advanced technologies such as IoT, AI, robotics, 5G/6G, quantum technologies in healthcare, agriculture, disaster prediction, governance etc. by developing explainable, trustworthy and transparent AI with ensured data privacy, cybersecurity to architect responsible innovative frameworks.
Introduction to Secure and Intelligent IoT
Threat Models and Vulnerability Landscape in IoT Ecosystems
Lightweight Cryptographic Solutions for IoT Devices
AI/ML-based Intrusion Detection for IoT Networks
Federated and Split Learning for Privacy-aware Anomaly Detection
Explainable AI for Trustworthy IoT Security
Blockchain and Distributed Ledger for Trust Management in IoT
Secure Edge and Fog Computing Models in IoT
Smart Healthcare with Secure and Green IoT (Low Carbon Footprint): Case Studies and Architectures
Industry 5.0 and Smart Cities: Security-first IoT Applications
Future Trends and Research Directions in Green IoT (Energy Efficiency, Resource Optimization, Waste Management, Sustainability)
Author guidelines:
Authors should submit a chapter including a suitable title and complete author details—name, designation, and affiliation.
Submissions should comprise original, previously unpublished work.
Authors should submit a chapter including a suitable title and complete author details—name, designation, and affiliation. Chapters must adhere to the Springer single-column format, spanning 20-25 pages, plagiarism 10% with bibliography.
“There are NO processing/publication charges for this Springer book”
Full Chapter Submission Deadline: Dec 15, 2025
Feedback of Reviewers:
Jan15, 2026
Revised Chapter Submission:
Feb 5, 2026
Final Acceptance Notification:
Feb 15, 2026
The chapter submission will be handled through Microsoft CMT only.
CMT submission link:https://cmt3.research.microsoft.com/SISAIoT2026
Authors need to have a CMT account to submit their paper.
Here is a link to create the account: https://cmt3.research.microsoft.com/docs/help/general/account-creation.html
Here is a link for authors on how to submit a paper: https://cmt3.research.microsoft.com/docs/help/author/author-submission-form.html
Dr. Sohail Saif
Maulana Abul Kalam Azad University of Technology, West Bengal, India
Dr. Suparna Biswas
Maulana Abul Kalam Azad University of Technology, West Bengal, India
Dr. Seemanti Saha
National Institute of Technology, Patna, India
Dr. Samit Kumar Ghosh
Khalifa University, Abu Dhabi, United Arab Emirates
Prof. Nauman Aslam
Northumbria University, Benton, Newcastle-upon-Tyne, NE7 7XA, UK
A detailed call for chapters is attached for you to look over. Click here.
For any query send e-mail to : sisaiot.springer@gmail.com
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The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.