Deep_CPS2021: Elsevier Book on Deep Learning Empowered Security in Cyber Physical Systems |
Submission link | https://easychair.org/conferences/?conf=deep-cps2021 |
Abstract registration deadline | March 31, 2021 |
Submission deadline | May 31, 2021 |
Deep Learning Empowered Security in Cyber physical systems
Cyber-Physical Systems have become ubiquitous in recent years and has become the core of modern critical infrastructure and industrial applications. Cyber-physical systems such as self-driving cars, drones, and intelligent transportation rely heavily on machine learning techniques for ever-increasing levels of autonomy. Therefore, ensuring security is a prime concern. Using such systems give invitation to attackers for performing attacks. Due to the success of Deep Learning (DL) in a multitude of domains, development of DL based CPS security applications have received increased interest in the past few years. However, despite the broad body of work on using DL for ensuring the security of CPSs, to our best knowledge very little work exists where the focus is on the development of these DL applications.
This book follows a multi-fold approach to discuss these aspects of security and privacy related to CPS. On one hand, it presents the conceptual and core technical aspects that provide an insight into the latest research trends and relevant theoretical framework in the field of CPS and its security. On the other hand, the book explains the deep learning-based solutions for data security enhancement as a whole.
Submission Guidelines
We are seeking Chapters for our edited volume entitled "Deep Learning Empowered Security in Cyber Physical Systems".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
Full Chapter Submission: June 30, 2021
Final Chapter Submission: July 31, 2021
Content transfer to Publisher : August 2021
Broad Topics
Part 1: Security and threats in CPS
Part 2: Challenges and Frameworks of CPS
Part 3: Deep Learning in CPS
Editors
Danda B Rawat (db.rawat@ieee.org)
Aaisha Makkar (aaisha.makkar@thapar.edu)
Pushpita Chatterjee (pushpita.c@ieee.org)
Uttam Ghosh (ghosh.uttam@ieee.org)
Publication
This edited book will be published by Elsevier and would be Scopus Indexed. There will be no Publication Fee.
Contact
All questions about submissions should be emailed to aaisha.makkar@thapar.edu, ghosh.uttam@ieee.org