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Internet of Things, Smart Computing and Technology: A Roadmap Ahead: 266 (Studies in Systems, Decision and Control) - Tapa dura

 
9783030390464: Internet of Things, Smart Computing and Technology: A Roadmap Ahead: 266 (Studies in Systems, Decision and Control)

Sinopsis

This book addresses a broad range of topics concerning machine learning, big data, the Internet of things (IoT), and security in the IoT. Its goal is to bring together several innovative studies on these areas, in order to help researchers, engineers, and designers in several interdisciplinary domains pursue related applications. It presents an overview of the various algorithms used, focusing on the advantages and disadvantages of each in the fields of machine learning and big data. It also covers next-generation computing paradigms that are expected to support wireless networking with high data transfer rates and autonomous decision-making capabilities. 

In turn, the book discusses IoT applications (e.g. healthcare applications) that generate a huge amount of sensor data and imaging data that must be handled correctly for further processing. In the traditional IoT ecosystem, cloud computing offers a solution for the efficient management of huge amounts of data, thanks to its ability to access shared resources and provide a common infrastructure in a ubiquitous manner. Though these new technologies are invaluable, they also reveal serious IoT security challenges. IoT applications are vulnerable to various types of attack such as eavesdropping, spoofing and false data injection, the man-in-the-middle attack, replay attack, denial-of-service attack, jamming attack, flooding attack, etc. These and other security issues in the Internet of things are explored in detail. 

In addition to highlighting outstanding research and recent advances from around the globe, the book reports on current challenges and future directions in the IoT. Accordingly, it offers engineers, professionals, researchers, and designers an applied-oriented resource to support them in a broad range of interdisciplinary areas. 

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De la contraportada

This book addresses a broad range of topics concerning machine learning, big data, the Internet of things (IoT), and security in the IoT. Its goal is to bring together several innovative studies on these areas, in order to help researchers, engineers, and designers in several interdisciplinary domains pursue related applications. It presents an overview of the various algorithms used, focusing on the advantages and disadvantages of each in the fields of machine learning and big data. It also covers next-generation computing paradigms that are expected to support wireless networking with high data transfer rates and autonomous decision-making capabilities. 

In turn, the book discusses IoT applications (e.g. healthcare applications) that generate a huge amount of sensor data and imaging data that must be handled correctly for further processing. In the traditional IoT ecosystem, cloud computing offers a solution for the efficient management of huge amounts of data, thanks to its ability to access shared resources and provide a common infrastructure in a ubiquitous manner. Though these new technologies are invaluable, they also reveal serious IoT security challenges. IoT applications are vulnerable to various types of attack such as eavesdropping, spoofing and false data injection, the man-in-the-middle attack, replay attack, denial-of-service attack, jamming attack, flooding attack, etc. These and other security issues in the Internet of things are explored in detail. 

In addition to highlighting outstanding research and recent advances from around the globe, the book reports on current challenges and future directions in the IoT. Accordingly, it offers engineers, professionals, researchers, and designers an applied-oriented resource to support them in a broad range of interdisciplinary areas. 

"Sobre este título" puede pertenecer a otra edición de este libro.

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9783030390495: Internet of Things, Smart Computing and Technology: A Roadmap Ahead: 266 (Studies in Systems, Decision and Control)

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ISBN 10:  3030390497 ISBN 13:  9783030390495
Editorial: Springer, 2021
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Dey, Nilanjan; et al. (Eds.)
Publicado por Cham, Springer., 2020
ISBN 10: 3030390462 ISBN 13: 9783030390464
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XVI, 403 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Studies in Systems, Decision and Control, 266. Sprache: Englisch. Nº de ref. del artículo: 8750GB

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Dey, Nilanjan|Mahalle, Parikshit. N.|Shafi, Pathan Mohd|Kimabahune, Vinod V.|Hassanien, Aboul Ella
Publicado por Springer International Publishing, 2020
ISBN 10: 3030390462 ISBN 13: 9783030390464
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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Discusses the latest research on the Internet of things, smart computing and technology&nbspPresents a roadmap for the future&nbspIncudes various applications of IoT an. Nº de ref. del artículo: 448681090

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Publicado por Springer, 2020
ISBN 10: 3030390462 ISBN 13: 9783030390464
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Condición: New. In. Nº de ref. del artículo: ria9783030390464_new

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Nilanjan Dey
ISBN 10: 3030390462 ISBN 13: 9783030390464
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania

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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book addresses a broad range of topics concerning machine learning, big data, the Internet of things (IoT), and security in the IoT. Its goal is to bring together several innovative studies on these areas, in order to help researchers, engineers, and designers in several interdisciplinary domains pursue related applications. It presents an overview of the various algorithms used, focusing on the advantages and disadvantages of each in the fields of machine learning and big data. It also covers next-generation computing paradigms that are expected to support wireless networking with high data transfer rates and autonomous decision-making capabilities. In turn, the book discusses IoT applications (e.g. healthcare applications) that generate a huge amount of sensor data and imaging data that must be handled correctly for further processing. In the traditional IoT ecosystem, cloud computing offers a solution for the efficient management of huge amounts of data, thanks to its ability to access shared resources and provide a common infrastructure in a ubiquitous manner. Though these new technologies are invaluable, they also reveal serious IoT security challenges. IoT applications are vulnerable to various types of attack such as eavesdropping, spoofing and false data injection, the man-in-the-middle attack, replay attack, denial-of-service attack, jamming attack, flooding attack, etc. These and other security issues in the Internet of things are explored in detail. In addition to highlighting outstanding research and recent advances from around the globe, the book reports on current challenges and future directions in the IoT. Accordingly, it offers engineers, professionals, researchers, and designers an applied-oriented resource to support them in a broad range of interdisciplinary areas. 420 pp. Englisch. Nº de ref. del artículo: 9783030390464

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Nilanjan Dey
Publicado por Springer International Publishing, 2020
ISBN 10: 3030390462 ISBN 13: 9783030390464
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book addresses a broad range of topics concerning machine learning, big data, the Internet of things (IoT), and security in the IoT. Its goal is to bring together several innovative studies on these areas, in order to help researchers, engineers, and designers in several interdisciplinary domains pursue related applications. It presents an overview of the various algorithms used, focusing on the advantages and disadvantages of each in the fields of machine learning and big data. It also covers next-generation computing paradigms that are expected to support wireless networking with high data transfer rates and autonomous decision-making capabilities. In turn, the book discusses IoT applications (e.g. healthcare applications) that generate a huge amount of sensor data and imaging data that must be handled correctly for further processing. In the traditional IoT ecosystem, cloud computing offers a solution for the efficient management of huge amounts of data, thanks to its ability to access shared resources and provide a common infrastructure in a ubiquitous manner. Though these new technologies are invaluable, they also reveal serious IoT security challenges. IoT applications are vulnerable to various types of attack such as eavesdropping, spoofing and false data injection, the man-in-the-middle attack, replay attack, denial-of-service attack, jamming attack, flooding attack, etc. These and other security issues in the Internet of things are explored in detail. In addition to highlighting outstanding research and recent advances from around the globe, the book reports on current challenges and future directions in the IoT. Accordingly, it offers engineers, professionals, researchers, and designers an applied-oriented resource to support them in a broad range of interdisciplinary areas. Nº de ref. del artículo: 9783030390464

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Nilanjan Dey
ISBN 10: 3030390462 ISBN 13: 9783030390464
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Buch. Condición: Neu. Neuware -This book addresses a broad range of topics concerning machine learning, big data, the Internet of things (IoT), and security in the IoT. Its goal is to bring together several innovative studies on these areas, in order to help researchers, engineers, and designers in several interdisciplinary domains pursue related applications. It presents an overview of the various algorithms used, focusing on the advantages and disadvantages of each in the fields of machine learning and big data. It also covers next-generation computing paradigms that are expected to support wireless networking with high data transfer rates and autonomous decision-making capabilities.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 420 pp. Englisch. Nº de ref. del artículo: 9783030390464

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Publicado por Springer, 2020
ISBN 10: 3030390462 ISBN 13: 9783030390464
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Condición: New. Nº de ref. del artículo: ABLIING23Mar3113020015990

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Dey, Nilanjan (Edited by)/ Mahalle, Parikshit. N. (Edited by)/ Shafi, Pathan Mohd (Edited by)/ Kimabahune, Vinod V. (Edited by)/ Hassanien, Aboul Ella (Edited by)
Publicado por Springer, 2020
ISBN 10: 3030390462 ISBN 13: 9783030390464
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Hardcover. Condición: Brand New. 419 pages. 9.25x6.10x0.94 inches. In Stock. Nº de ref. del artículo: x-3030390462

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