Call For Chapters
Solutions to Secure Data Management Issues
for Online Learning Applications
Embedded Files
Editors:
Editors:
Dr. L. Jegatha Deborah,
Assistant Professor and Head(i/c)
Department of Computer Science and Engineering
University College of Engineering, Tindivanam, Melpakkam, Tindivamam,
Tamilnadu, India-604001
Contact no: 9791579669
Mail ID: blessedjeny@gmail.com
Dr. P Vijaykumar, (Senior member IEEE)
Former Dean (i/c)
University College of Engineering Tindivanam (A Constituent College of Anna University, Chennai)
Melpakkam, Tamilnadu, India-604001
Contact no: 9940896665
Mail ID: vijibond2000@gmail.com
Dr. Brij B. Gupta (Senior Member IEEE, ACM)
Assistant Professor,
National Institute of Technology Kurukshetra,
Kurukshera, Haryana, India- 136119
Contact no: 9927713132
Mail ID: bbgupta@nitkkr.ac.in
Fax Number: 9927713132
Dr. Danilo Pelusi (Member IEEE)
Associate Professor,
Faculty of Communication Science,
University of TeramoCoste Sant'Agostino, Teramo,
Italy-64100
Contact no: 0861-266036
Mail ID: dpelusi@unite.it
Aim and Scope
Aim and Scope
The pandemic situation due to coronavirus has closed educational institutes. Hence, online learning is the new reality in many places around the globe security in online learning refers to protection from malicious or accidental misuse of resources and online learning. Security has three requirements: confidentiality, integrity, and availability. Online learning security risk includes vulnerability to information theft ransomware distributed denial of service (DDoS) attacks, and the data security issues. So it is essential to prevent these risks to avoid separate securitie attacks exit dental data loss and other complicated issues during that this time digital learning will continue to be a necessity in the present in near future era.
Topics
Topics
Technical scope of the proposal includes, but not limited to:
Secure intelligent tutoring systems
Efficient key management and key distribution schemes for online learning
Data Centring techniques for blended learning
Automatic semantic and secure evaluation strategies of learners online examination data
Effective solution to combat information theft in online learning
Ensuring confidential data storage and management techniques in distance learning
Survey of risk and threat in online learning applications
Data handling mechanism in advanced learning management systems
Secure performance assessment measures any intelligent to Tutoring systems
Instruction to Authors
Instruction to Authors
Academic scientists, industry people, professors, UG, PG students, and Research Scholars are invited to submit quality chapter proposals for this edited book in the areas focus on cryptography and cyber security in online learning applications. All submissions must be original and should not submit any proposal that is under review or already published with any other publishers. Each book chapter should contain 15-20 pages including results and discussion and should follow CRC publication format.
Important Dates
Important Dates
Abstract Submission (Approx 500 words) - 27.10.2021
Full Chapter Submission - 30.11.2021
First Review Report - 05.01.2022
Revised Chapter Submission - 01.02.2022
Final Submission - 01.03.2022
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