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Handbook of research on cloud computing and big data applications in IoT

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Handbook of research on cloud computing and big data applications in IoT/ B.B. Gupta and Dharma P. Agrawal, editors.
其他作者:	Gupta, B. B.,
出版者:	Hershey, Pennsylvania :IGI Global, : [2019],
面頁冊數:	1 online resource (xxviii, 609 p.)
標題:	Cloud computing. -
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-8407-0
ISBN:	9781522584087 (e-book)

Handbook of research on cloud computing and big data applications in IoT
Handbook of research on cloud computing and big data applications in IoT[electronic resource] /B.B. Gupta and Dharma P. Agrawal, editors. - Hershey, Pennsylvania :IGI Global,[2019] - 1 online resource (xxviii, 609 p.)

Includes bibliographical references and index.

Chapter 1. Resource management and scheduling for big data applications in cloud computing environments -- Chapter 2. On the use of system-level benchmarks for comparing public cloud environments -- Chapter 3. Adversarial attacks and defense on deep learning models for big data and IoT -- Chapter 4. Big data analytics: applications, trends, tools, and future research directions -- Chapter 5. Tier application in multi-cloud databases to improve security and service availability -- Chapter 6. Achieving secure and privacy-preserving in mobile social networks -- Chapter 7. Adversarial attacks and defenses in malware detection classifiers -- Chapter 8. A privacy-preserving feature extraction method for big data analytics based on data-independent reusable projection -- Chapter 9. An API for development of user-defined scheduling algorithms in Aneka PaaS cloud software: user defined schedulers in Aneka Paas cloud software -- Chapter 10. A cloud-based patient health monitoring system using the Internet of things -- Chapter 11. Statistical modelling and analysis of the computer-simulated datasets -- Chapter 12. Evaluation of reliable data storage in cloud using an efficient encryption technique -- Chapter 13. Enabling technologies for IoT: issues, challenges, and opportunities -- Chapter 14. A system for natural language interaction with the heterogeneous information network -- Chapter 15. Fog computing: concepts, applications, and countermeasures against security attacks -- Chapter 16. Survey on industrial Internet of things (IoT) threats and security -- Chapter 17. Chaos theory and systems in cloud content security -- Chapter 18. A study on recent trends in cloud-based data processing for IoT era -- Chapter 19. A perspective on using blockchain for ensuring security in smart card systems -- Chapter 20. Delay tolerant networks: architecture, routing, congestion, and security issues -- Chapter 21. The impact of Internet of things self-security on daily business and business continuity -- Chapter 22. Survey on various mapreduce scheduling algorithms -- Chapter 23. Software-defined networks (SDN): a Survey.

Restricted to subscribers or individual electronic text purchasers.

"This book examines the latest research results on cloud computing and explores the broad applicability and scope of these trends on an international scale, venturing into the hot-button issue of IT services evolution and what we need to do to be prepared for future developments in cloud computing. It also explores big data applications in IoT"--Provided by publisher.

ISBN: 9781522584087 (e-book)Subjects--Topical Terms:

716205
Cloud computing.

LC Class. No.: QA76.585 / .H3628 2019e

Dewey Class. No.: 004.67/82

Handbook of research on cloud computing and big data applications in IoT
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505 0 $a Chapter 1. Resource management and scheduling for big data applications in cloud computing environments -- Chapter 2. On the use of system-level benchmarks for comparing public cloud environments -- Chapter 3. Adversarial attacks and defense on deep learning models for big data and IoT -- Chapter 4. Big data analytics: applications, trends, tools, and future research directions -- Chapter 5. Tier application in multi-cloud databases to improve security and service availability -- Chapter 6. Achieving secure and privacy-preserving in mobile social networks -- Chapter 7. Adversarial attacks and defenses in malware detection classifiers -- Chapter 8. A privacy-preserving feature extraction method for big data analytics based on data-independent reusable projection -- Chapter 9. An API for development of user-defined scheduling algorithms in Aneka PaaS cloud software: user defined schedulers in Aneka Paas cloud software -- Chapter 10. A cloud-based patient health monitoring system using the Internet of things -- Chapter 11. Statistical modelling and analysis of the computer-simulated datasets -- Chapter 12. Evaluation of reliable data storage in cloud using an efficient encryption technique -- Chapter 13. Enabling technologies for IoT: issues, challenges, and opportunities -- Chapter 14. A system for natural language interaction with the heterogeneous information network -- Chapter 15. Fog computing: concepts, applications, and countermeasures against security attacks -- Chapter 16. Survey on industrial Internet of things (IoT) threats and security -- Chapter 17. Chaos theory and systems in cloud content security -- Chapter 18. A study on recent trends in cloud-based data processing for IoT era -- Chapter 19. A perspective on using blockchain for ensuring security in smart card systems -- Chapter 20. Delay tolerant networks: architecture, routing, congestion, and security issues -- Chapter 21. The impact of Internet of things self-security on daily business and business continuity -- Chapter 22. Survey on various mapreduce scheduling algorithms -- Chapter 23. Software-defined networks (SDN): a Survey.
506 $a Restricted to subscribers or individual electronic text purchasers.
520 3 $a "This book examines the latest research results on cloud computing and explores the broad applicability and scope of these trends on an international scale, venturing into the hot-button issue of IT services evolution and what we need to do to be prepared for future developments in cloud computing. It also explores big data applications in IoT"--Provided by publisher.
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