CDLCISS_2021: Convergence of Deep Learning in Cyber-IoT Systems and Security |
Website | https://cdlciss2021.in/ |
Submission link | https://easychair.org/conferences/?conf=cdlciss-2021 |
Abstract registration deadline | April 30, 2021 |
Submission deadline | July 31, 2021 |
We are delighted to invite your unpublished work for this book as book chapter publication on listed topics but not limited to.
Main objective of the Book:
The main goal of this book is to bring front unconventional cryptographic methods to provide cyber security, including cyber-physical system security and IoT security through Deep learning techniques and analytics with the study of all these systems.
Submission Guidelines
Book: Convergence of Deep Learning in Cyber-IoT Systems and Security
http://jkmandal.com/JKM_New_WebSite/pdf/Book_Flyer_CDLCISS_2021.pdf
Book Series: Artificial Intelligence And Soft Computing For Industrial Transformation
Book Chapter Submission Link and Information:
https://easychair.org/conferences/?conf=cdlciss-2021
List of Topics
Tentative Chapters/Topics:
- Introductory Chapters on Deep Learning, Deep Learning for IoT systems, Deep Learning for Cyber-Physical System and security aspects.
- Convolution Neural Networks, Recurrent Neural Networks and Deep Belief Networks
- Long Short Term Memory, Deep and restricted Boltzmann Machines and Deep Reinforcement Learning.
- Deep Learning based AI modelling, Intrusion detection and Malware detection.
- Detection and categorization of domain names generated by Domain Name generation algorithms (DGAs), Spam detection, Traffic Analysis and Binary Analysis, Protocols for IoT Security.
- Authentication Mechanism in IoT Security.
- Distributed, reliable and efficient management of Cyber-Physical Systems.
- Cyber-Physical System Engineering, Cognitive Cyber-Physical Systems and Security issues in Cyber-Physical Systems.
- Multidisciplinary Application areas are also accepted in this book such as control, automation, robotics, Computational Biology and system biology which must focus on Cyber-IoT systems using deep learning techniques.
Case studies and student projects on deep Learning for Cyber-IoT systems, Cyber-Physical System and Security are very much welcome for this book.
Important Date
Abstract Submission Last Date: 30th April 2021
Acceptance Notification of Abstract: 15th May 2021
Full Paper Last Date: 31st July 2021
Acceptance Notification of Full Chapter: 30th September 2021
Final Camera Ready Submission: 31st October 2021
Deposition of final matter to the publisher: 31st December 2021
Publication
Publisher: Scrivener – Wiley Publishers, USA. The book series is already indexed in Scopus and offered to web of science. No Publication Fee Required.
Contact
Editors
Dr. Rajdeep Chakraborty, Assistant Professor, CSE Dept., Netaji Subhash Engineering College, Kolkata, India. rajdeep.research@gmail.com
Dr. Anupam Ghosh, Professor, CSE Dept., Netaji Subhash Engineering College, Kolkata, India. anupam.ghosh@rediffmail.com
Dr. Jyostna Kumar Mandal, Professor, CSE Dept., University of Kalyani, West Bengal, India. jkm.cse@gmail.com
Dr. S. Balamurugan, SMIEEE, ACM Distinguished Speaker, Founder & Chairman - Albert Einstein Engineering and Research Labs (AEER Labs) and Vice Chairman- Renewable Energy Society of India (RESI), India. sbnbala@gmail.com