Secure Data Management for Online Learning Applications

Secure Data Management for Online Learning Applications

Vijayakumar, P.; Gupta, Brij B.; Pelusi, Danilo; Deborah, L. Jegatha

Taylor & Francis Ltd

10/2024

276

Mole

9781032206431

Pré-lançamento - envio 15 a 20 dias após a sua edição

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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.
Secure Data Management;E-learning;Security in e-learning;Optimized Deep Learning Technique;Security Risks and Threats in Online Learning Application;Blended Learning for Programming Languages;Secure Data Aggregation and Sharing;Private Keys;Online Learning Application;Online Learning;Public Key;Session Key;Elliptic Curve Cryptography;E-learning Platforms;MOOC;Secret Key;Online Education;Blockchain Technology;DBSCAN Cluster Algorithm;Cloud Computing;IBE;Sentiment Analysis;Secure Data Aggregation;SQL Injection;EC;DBSCAN Algorithm;Online Learning Platforms;SHA Algorithm;Smart Contracts;MVPD;KDC;OWASP