Secure Data Management for Online Learning Applications

With the increasing use of e-learning, technology has not only revolutionized the way businesses operate but has also impacted learning processes in the education sector. E-learning is slowly replacing traditional methods of teaching and security in e-learning is an important issue in this educational context. With this book, you will be familiarized with the theoretical frameworks, technical methodologies, information security, and empirical research findings in the field to protect your computers and information from threats. Secure Data Management for Online Learning Applications will keep you interested and involved throughout.

1. Secure Online Assessment of Students using Optimized Deep Learning Techniques, 2. Survey of Risks and Threats in Online Learning Applications, 3. Approaches to Overcome the Security Risks and Threats in Online Learning Applications, 4. Secure Data Aggregation and Sharing for Online Learning Applications, 5. A Secure Data-Centric Approach to Blended Learning for Programming Languages, 6. Centralized Key Distribution Protocol Using Identity-Based Encryption Techniques in Cloud Computing Environments, 7. Efficient Key Management and Key Distribution for Online Learning, 8. An Efficient Privacy Preserving and Public Auditing Data Integrity Verification Protocol for Cloud-Based Online Learning Environments, 9. A Novel Secure E-learning Model for Accurate Recommendations of Learning Objects, 10. Efficient Key Management and Key Distribution Schemes for Online Learning, 11. Secure Virtual Learning using Blockchain Technology, 12. A Robust Mutual and Batch Authentication Scheme based on ECC for Online Learning in Industry 4.0., 13. Sentiment Analysis: The Beginning.

L. Jegatha Deborah has 15 years of experience in teaching and 05 years of experience in research. Her core research areas of interest includes artificial intelligence, cognitive linguistics, key management in network security, machine learning. She received her B.E. degree in computer science and engineering from Madurai Kamaraj University, Madurai, India, in 2002, the M.E. degree in computer science and engineering from the Karunya Institute of Technology, Coimbatore, India, in 2005, and the Ph.D. degree in computer science and engineering from Anna University, Chennai, India, in 2013. She is a life member of ISTE professional body. She is serving as a doctoral committee member for various universities like VIT university, Sathyabama university. She is currently guiding four numbers of Doctoral of Philosophy scholars in various domains line online learning, intelligent transportation systems, key management for Industrial IoT applications, machine leanring for autisic children. She has given many guest lectures in International conferences, seminars, workshops, etc in various domains like data mining, neural networks, artificial intelligence, intelligent tutoring systems, etc. She has written many research papers which are published in many reputed journals like IEEE, Elsevier, Springer, Wiley, Taylor and Francis, Inderscience, etc. One of her research paper based on Intelligent Transportation System was awarded "The Best Paper" during the presentation in an International Conference, Springer publishers. She is very interested in cognitive linguistics and have developed for model for Learning Management Systems. She has also been a guest editor for special issues published by Elsevier, Inderscience, etc. Towards societal initiative, she is an active member of Youth Red Cross and also the program officer in the working institute. She has visited many countries for international conferences and for employment like West Africa, Malaysia, United St