Secure Data Management for Online Learning Applications (eBook, ePUB)

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

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 298
• Erscheinungstermin: 5. April 2023
• Englisch
• ISBN-13: 9781000856583
• Artikelnr.: 67462005

Autorenporträt

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 States of America and China. Pandi Vijayakumar received the 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. He is the former Dean and currently an Assistant Professor with the Department of Computer Science and Engineering, University College of Engineering Tindivanam, Melpakkam, India, which is a constituent college of Anna University Chennai, India. He has seventeen years of teaching experience and he has produced four Ph.D. candidates successfully. He has also authored and co-authored more than 100 quality papers in various IEEE transactions/journals, ACM transactions, Elsevier, IET, Springer, Wiley and IGI Global journals. He is serving as Associate Editor in many SCI indexed journals namely ¿IEEE Transactions on Intelligent Transportation Systems (T-ITS), International Journal of Communication Systems (Wiley), PLOS One, International Journal of Semantic Web and Information Systems (IGI Global), and Security and Communication Networks (Wiley Hindawi). Moreover, He is serving as an Academic Editor in the International Journal of Organizational and Collective Intelligence (IGI Global), International Journal of Software Science and Computational Intelligence (IGI Global), International Journal of Cloud Applications and Computing (IGI Global), International Journal of Digital Strategy, Governance, and Business Transformation (IGI Global) and Security and Privacy (Wiley). He is also serving as a Technical Committee member in the journal Computer Communications (Elsevier). Recently, He was elevated to Editor-in-Chief Position in the journal Cyber Security and Applications (KeAi Elsevier). Till now he has authored four books for various subjects that belong to the Department of Computer Science and Engineering. He is a senior member of IEEE. He is also listed in the world's Top 2% Scientists for citation impact during the calendar year 2020 by Stanford University. E-mail: [e-mail]. Prof Brij B. Gupta received the PhD degree from Indian Institute of Technology (IIT) Roorkee, India. In more than 16 years of his professional experience, he published over 400 papers in journals/conferences including 30 books and 08 Patents with over 14000 citations. He has received numerous national and international awards including Canadian Commonwealth Scholarship (2009), Faculty Research Fellowship Award (2017), from the Govt. of Canada, MeitY, GoI, IEEE GCCE outstanding and WIE paper awards and Best Faculty Award (2018 & 2019), NIT Kurukshetra, respectively. Prof Gupta is also serving as Distinguished Research Scientist with LoginRadius Inc., USA which is one of leading cybersecurity companies in the world, especially in the field of customer identity and access management (CIAM). He is also selected in the 2021 and 2020 Stanford University's ranking of the world's top 2% scientists. He is also a visiting/adjunct professor with several universities worldwide. He is also an IEEE Senior Member (2017) and also selected as 2021 Distinguished Lecturer in IEEE CTSoc. Dr Gupta is also serving as Member-in-Large, Board of Governors, IEEE Consumer Technology Society (2022-204). Prof. Gupta is also leading IJSWIS, IJSSCI and IJCAC, IGI Global, as Editor-in-Chief. Moreover, he is also serving as lead-editor of a Book Series with CRC, World Scientific and IET press. He also served as TPC members and organized/special session chairs in ICCE-2021, GCCE 2014-2021 and TPC Chair in 2018 INFOCOM: CCSNA Workshop and Publicity Co-chair in 2020 ICCCN. Dr Gupta is also serving/served as Associate/Guest Editor of IEEE TII, IEEE TITS, IoT, IEEE Big Data, ASOC, FGCS, etc. At present, Prof. Gupta is working as Director, International Center for AI and Cyber Security Research and Innovations, and Full Professor with the Department of Computer Science and Information Engineering (CSIE), Asia University, Taiwan. His research interests include information security, Cyber physical systems, cloud computing, blockchain technologies, intrusion detection, AI, social media and networking. Danilo Pelusi received the Ph.D. degree in Computational Astrophysics from the University of Teramo, Italy. He is an Associate Professor at the Department of Communication Sciences, University of Teramo. Editor of books in Springer and Elsevier, he is/was an Associate Editor of IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Access and International Journal of Machine Learning and Cybernetics. Guest editor for Elsevier, Springer and Inderscience journals and keynote speaker in several IEEE conference, he belongs to the editorial board member of many journals. His research interests include Fuzzy Logic, Neural Networks, Information Theory, Machine Learning and Evolutionary Algorithms.

Inhaltsangabe

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.