Deep_IoT2021: Deep learning for security and privacy preservation in IoT |
Submission link | https://easychair.org/conferences/?conf=deep-iot2021 |
Abstract registration deadline | October 15, 2020 |
Submission deadline | November 15, 2020 |
Deep learning for security and privacy preservation in IoT
User’s interest would be in learning the different methods by which IoT data can be secured. The interesting fact is that the Artificial Intelligence (AI) plays an major role in it. Thus, such techniques are explored in this proposed book. The approach to be followed is that the practical knowledge to be delivered along with the theoretical concepts. Now every IoT device requires the system which should be secure IoT data. Each reader if wanted to develop IoT system, then this book serves as a basis for securing the data collected by the designed IoT device. This proposal is to attract the writers/authors who can dedicatedly develop/investigate such deep learning technique to secure IoT devices.
Submission Guidelines
We are seeking Chapters for our edited volume entitled "Deep learning for security and privacy preservation in IoT".Within this title, a broad range of topics and perspectives will be considered. Kindly send the abstract of around 500 words, along with the table of contents for the chapter through EasyChair link: submission link
Important Dates
- Abstract Submission with TOC: 15 September, 2020
- Preliminary acceptance/rejection notification: 30 September, 2020
- Full Chapter Submission: 15 October, 2020
- First Review Notification: 30 October, 2020
- Camera Ready Submission:30 November, 2020
List of Chapters
PART1: Introduction to IoT
PART2: Deep Learning for IoT
PART3: Security and Privacy Issues in IoT
Editors
Dr. Aaisha Makkar (aaisha.makkar@thapar.edu)
Dr. Neeraj Kumar (neeraj.kumar@thapar.edu)
Publication
This edited book will be published by Springer and would be scopus indexed.
Contact
All questions about submissions should be emailed to aaisha.makkar@thapar.edu