Secure Data Management For Online Learning Applications

Author : L. Jegatha Deborah
Publisher : CRC Press
ISBN 13 : 1000856585
Total Pages : 372 pages
Book Rating : 4.83/5 ( download)

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Download or read book Secure Data Management for Online Learning Applications written by L. Jegatha Deborah and published by CRC Press. This book was released on 2023-04-05 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : L. Jegatha Deborah
Publisher : CRC Press
ISBN 13 : 1000856445
Total Pages : 299 pages
Book Rating : 4.46/5 ( download)

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Download or read book Secure Data Management for Online Learning Applications written by L. Jegatha Deborah and published by CRC Press. This book was released on 2023-04-05 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Jorge Miguel
Publisher : Morgan Kaufmann
ISBN 13 : 0128045450
Total Pages : 192 pages
Book Rating : 4.59/5 ( download)

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Download or read book Intelligent Data Analysis for e-Learning written by Jorge Miguel and published by Morgan Kaufmann. This book was released on 2016-09-06 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Data Analysis for e-Learning: Enhancing Security and Trustworthiness in Online Learning Systems addresses information security within e-Learning based on trustworthiness assessment and prediction. Over the past decade, many learning management systems have appeared in the education market. Security in these systems is essential for protecting against unfair and dishonest conduct—most notably cheating—however, e-Learning services are often designed and implemented without considering security requirements. This book provides functional approaches of trustworthiness analysis, modeling, assessment, and prediction for stronger security and support in online learning, highlighting the security deficiencies found in most online collaborative learning systems. The book explores trustworthiness methodologies based on collective intelligence than can overcome these deficiencies. It examines trustworthiness analysis that utilizes the large amounts of data-learning activities generate. In addition, as processing this data is costly, the book offers a parallel processing paradigm that can support learning activities in real-time. The book discusses data visualization methods for managing e-Learning, providing the tools needed to analyze the data collected. Using a case-based approach, the book concludes with models and methodologies for evaluating and validating security in e-Learning systems. Indexing: The books of this series are submitted to EI-Compendex and SCOPUS Provides guidelines for anomaly detection, security analysis, and trustworthiness of data processing Incorporates state-of-the-art, multidisciplinary research on online collaborative learning, social networks, information security, learning management systems, and trustworthiness prediction Proposes a parallel processing approach that decreases the cost of expensive data processing Offers strategies for ensuring against unfair and dishonest assessments Demonstrates solutions using a real-life e-Learning context

Author : Kats, Yefim
Publisher : IGI Global
ISBN 13 : 1615208542
Total Pages : 486 pages
Book Rating : 4.48/5 ( download)

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Download or read book Learning Management System Technologies and Software Solutions for Online Teaching: Tools and Applications written by Kats, Yefim and published by IGI Global. This book was released on 2010-05-31 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book gives a general coverage of learning management systems followed by a comparative analysis of the particular LMS products, review of technologies supporting different aspect of educational process, and, the best practices and methodologies for LMS-supported course delivery"--Provided by publisher.

Author :
Publisher :
ISBN 13 :
Total Pages : 936 pages
Book Rating : 4.75/5 ( download)

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Download or read book Government Executive written by and published by . This book was released on 2003 with total page 936 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : EMC Education Services
Publisher : John Wiley & Sons
ISBN 13 : 1118236963
Total Pages : 528 pages
Book Rating : 4.63/5 ( download)

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Download or read book Information Storage and Management written by EMC Education Services and published by John Wiley & Sons. This book was released on 2012-04-30 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: The new edition of a bestseller, now revised and update throughout! This new edition of the unparalleled bestseller serves as a full training course all in one and as the world's largest data storage company, EMC is the ideal author for such a critical resource. They cover the components of a storage system and the different storage system models while also offering essential new material that explores the advances in existing technologies and the emergence of the "Cloud" as well as updates and vital information on new technologies. Features a separate section on emerging area of cloud computing Covers new technologies such as: data de-duplication, unified storage, continuous data protection technology, virtual provisioning, FCoE, flash drives, storage tiering, big data, and more Details storage models such as Network Attached Storage (NAS), Storage Area Network (SAN), Object Based Storage along with virtualization at various infrastructure components Explores Business Continuity and Security in physical and virtualized environment Includes an enhanced Appendix for additional information This authoritative guide is essential for getting up to speed on the newest advances in information storage and management.

Author :
Publisher :
ISBN 13 :
Total Pages : 812 pages
Book Rating : 4.27/5 ( download)

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Download or read book Library & Information Science Abstracts written by and published by . This book was released on 2006 with total page 812 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : J. Morris Chang
Publisher : Simon and Schuster
ISBN 13 : 1617298042
Total Pages : 334 pages
Book Rating : 4.42/5 ( download)

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Download or read book Privacy-Preserving Machine Learning written by J. Morris Chang and published by Simon and Schuster. This book was released on 2023-05-02 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Keep sensitive user data safe and secure without sacrificing the performance and accuracy of your machine learning models. In Privacy Preserving Machine Learning, you will learn: Privacy considerations in machine learning Differential privacy techniques for machine learning Privacy-preserving synthetic data generation Privacy-enhancing technologies for data mining and database applications Compressive privacy for machine learning Privacy-Preserving Machine Learning is a comprehensive guide to avoiding data breaches in your machine learning projects. You’ll get to grips with modern privacy-enhancing techniques such as differential privacy, compressive privacy, and synthetic data generation. Based on years of DARPA-funded cybersecurity research, ML engineers of all skill levels will benefit from incorporating these privacy-preserving practices into their model development. By the time you’re done reading, you’ll be able to create machine learning systems that preserve user privacy without sacrificing data quality and model performance. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Machine learning applications need massive amounts of data. It’s up to you to keep the sensitive information in those data sets private and secure. Privacy preservation happens at every point in the ML process, from data collection and ingestion to model development and deployment. This practical book teaches you the skills you’ll need to secure your data pipelines end to end. About the Book Privacy-Preserving Machine Learning explores privacy preservation techniques through real-world use cases in facial recognition, cloud data storage, and more. You’ll learn about practical implementations you can deploy now, future privacy challenges, and how to adapt existing technologies to your needs. Your new skills build towards a complete security data platform project you’ll develop in the final chapter. What’s Inside Differential and compressive privacy techniques Privacy for frequency or mean estimation, naive Bayes classifier, and deep learning Privacy-preserving synthetic data generation Enhanced privacy for data mining and database applications About the Reader For machine learning engineers and developers. Examples in Python and Java. About the Author J. Morris Chang is a professor at the University of South Florida. His research projects have been funded by DARPA and the DoD. Di Zhuang is a security engineer at Snap Inc. Dumindu Samaraweera is an assistant research professor at the University of South Florida. The technical editor for this book, Wilko Henecka, is a senior software engineer at Ambiata where he builds privacy-preserving software. Table of Contents PART 1 - BASICS OF PRIVACY-PRESERVING MACHINE LEARNING WITH DIFFERENTIAL PRIVACY 1 Privacy considerations in machine learning 2 Differential privacy for machine learning 3 Advanced concepts of differential privacy for machine learning PART 2 - LOCAL DIFFERENTIAL PRIVACY AND SYNTHETIC DATA GENERATION 4 Local differential privacy for machine learning 5 Advanced LDP mechanisms for machine learning 6 Privacy-preserving synthetic data generation PART 3 - BUILDING PRIVACY-ASSURED MACHINE LEARNING APPLICATIONS 7 Privacy-preserving data mining techniques 8 Privacy-preserving data management and operations 9 Compressive privacy for machine learning 10 Putting it all together: Designing a privacy-enhanced platform (DataHub)

Author : Dama International
Publisher :
ISBN 13 : 9781634622349
Total Pages : 628 pages
Book Rating : 4.40/5 ( download)

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Download or read book DAMA-DMBOK written by Dama International and published by . This book was released on 2017 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt: Defining a set of guiding principles for data management and describing how these principles can be applied within data management functional areas; Providing a functional framework for the implementation of enterprise data management practices; including widely adopted practices, methods and techniques, functions, roles, deliverables and metrics; Establishing a common vocabulary for data management concepts and serving as the basis for best practices for data management professionals. DAMA-DMBOK2 provides data management and IT professionals, executives, knowledge workers, educators, and researchers with a framework to manage their data and mature their information infrastructure, based on these principles: Data is an asset with unique properties; The value of data can be and should be expressed in economic terms; Managing data means managing the quality of data; It takes metadata to manage data; It takes planning to manage data; Data management is cross-functional and requires a range of skills and expertise; Data management requires an enterprise perspective; Data management must account for a range of perspectives; Data management is data lifecycle management; Different types of data have different lifecycle requirements; Managing data includes managing risks associated with data; Data management requirements must drive information technology decisions; Effective data management requires leadership commitment.

Author : Edgar R. Weippl
Publisher : Springer Science & Business Media
ISBN 13 : 9780387243412
Total Pages : 212 pages
Book Rating : 4.10/5 ( download)

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Download or read book Security in E-Learning written by Edgar R. Weippl and published by Springer Science & Business Media. This book was released on 2005-07-06 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: As e-learning increases in popularity and reach, more people are taking online courses and need to understand the relevant security issues. This book discusses typical threats to e-learning projects, introducing how they have been and should be addressed.