MLTACS_2020: Machine Learning Techniques and Analytics for Cloud Security |
Submission link | https://easychair.org/conferences/?conf=mltacs-2020 |
Poster | download |
Abstract registration deadline | July 31, 2020 |
Submission deadline | December 31, 2020 |
Book Flyer Link | http://jkmandal.com/JKM_New_WebSite/pdf/CFC-MLTACS-Scrivener-WILEY-RC_AG_JKM.pdf |
Scope of the book: “Machine Learning Techniques and Analytics for Cloud Security”
The scope and aim of this book is to integrate machine learning approaches to meet various analytical issues in cloud security. With the advancement of Network and IoT needs sufficient security measures. Cloud-security with ML has long-standing challenges that require methodological and theoretical handling. The conventional cryptography approach is less applied in resource constrained devices. To solve these issues machine learning approach may be effectively used in providing security to the vast growing cloud environment. Machine learning algorithms can also be used to meet various cloud security issues, like effective intrusion detection system, zero knowledge authentication system, measures for passive attacks, protocols design, privacy system design and application and many more. This book will also some contain case study / projects to implement some security features using machine learning algorithms and analytics. This book will provide a learning paradigm in field of Artificial Intelligence and deep learning community with related datasets to help dive deeper into Machine Learning applications in cloud security.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference or book.
Submission Link:
https://easychair.org/conferences/?conf=mltacs-2020
Guideline for Book Chapter Contributors and Authors:
http://www.scrivenerpublishing.com/guidelines.php
Call for Chapter Link:
https://easychair.org/cfp/mltacs-2020
Book Flyer Link:
http://jkmandal.com/JKM_New_WebSite/pdf/CFC-MLTACS-Scrivener-WILEY-RC_AG_JKM.pdf
List of Topics
This book will cover the following contents/ topics but not limited to:
Part –I: Introductory Chapters
1. State of the Art in Machine Learning, Machine Analytics and Cloud Security.
2. Literature Survey on Machine Learning techniques and analytics for cloud security environment.
Part – II: Privacy and Authentication
3. Efficient cloud privacy system using machine learning techniques
4. Zero knowledge authentication system for cloud environment
5. Analytics based authentication system for cloud environment
Part – III: Recent Development and Advance Topics
6. Effective Intrusion detection system using machine analytics and techniques
7. Effective spam detection and removal using machine learning techniques
8. Distributed denial of service attack solution through machine analytics
9. Phishing attack solution through machine analytics
10. Abuse detection in cloud
Part – IV: Security Solutions
11. Protocols for Cloud security
12. Hybrid cloud security architecture
Part – V: Case studies and Projects
13. Case studies (AWS security/ IBM Hybrid Cloud Security/ Cloud Security Provider Alliance/ ZScaler / Threat Stack etc.)
14. Projects on Cloud Security using machine learning techniques/analytics/tools etc.
Editors
Dr. Rajdeep Chakraborty
Dept. of CSE, Netaji Subhash Engineering College, Kolkata, India.
E-mail:- rajdeep_chak@rediffmail.com Mob:- +91-9836825426
Dr. Anupam Ghosh
Dept. of CSE, Netaji Subhash Engineering College, Kolkata, India.
E-Mail:- anupam.ghosh@rediffmail.com
Mob:- +91-9831837936
Dr. J.K. Mandal
Dept. of CSE, University of Kalyani, Kalyani, West Bengal, India.
E-mail:- jkm.cse@gmail.com
Mob:- +91-9434352214
Publication
This Book MLTACS_2020 will be published in ...
by Scrivener Publishing LLC 100 Cummings Center Suite 541J Beverly, MA 01915-6106 Tel/cell: 781-864-5705
Important Dates
Abstract Submission Last Date:
31st July 2020
Acceptance Notification of Abstract:
31st August 2020
Full Paper Last Date:
31st December 2020
Acceptance Notification of Full Chapter:
31st January 2021
Final Camera Ready Submission:
28th February 2021
Book Publication Tentative Date:
April 2021
Contact
All questions about submissions should be emailed to ...
jkm.cse@gmail.com