Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 58,37
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 69,12
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Aggiungi al carrelloCondizione: New.
EUR 63,63
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Aggiungi al carrelloCondizione: New. pages cm.
Editore: Taylor & Francis Ltd, London, 2024
ISBN 10: 1032206454 ISBN 13: 9781032206455
Lingua: Inglese
Da: Grand Eagle Retail, Fairfield, OH, U.S.A.
EUR 73,54
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. The integration of fog computing with the resource-limited Internet of Things (IoT) network formulates the concept of the fog-enabled IoT system. Due to a large number of IoT devices, the IoT is a main source of Big Data. A large volume of sensing data is generated by IoT systems such as smart cities and smart-grid applications. A fundamental research issue is how to provide a fast and efficient data analytics solution for fog-enabled IoT systems. Big Data Analytics in Fog-Enabled IoT Networks: Towards a Privacy and Security Perspective focuses on Big Data analytics in a fog-enabled-IoT system and provides a comprehensive collection of chapters that touch on different issues related to healthcare systems, cyber-threat detection, malware detection, and the security and privacy of IoT Big Data and IoT networks.This book also emphasizes and facilitates a greater understanding of various security and privacy approaches using advanced artificial intelligence and Big Data technologies such as machine and deep learning, federated learning, blockchain, and edge computing, as well as the countermeasures to overcome the vulnerabilities of the fog-enabled IoT system. This book emphasizes and facilitate a greater understanding of various security and privacy approaches using the advance AI and Big data technologies like machine/deep learning, federated learning, blockchain, edge computing and the countermeasures to overcome the vulnerabilities of the Fog-enabled IoT system. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 64,20
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days. 360.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 59,92
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EUR 75,16
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Aggiungi al carrelloCondizione: New. pages cm First edition Includes bibliographical references.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 64,19
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EUR 71,95
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EUR 69,32
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Da: Revaluation Books, Exeter, Regno Unito
EUR 87,37
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Aggiungi al carrelloPaperback. Condizione: Brand New. 232 pages. 9.18x6.12x9.21 inches. In Stock.
Editore: Taylor & Francis Ltd, London, 2024
ISBN 10: 1032206454 ISBN 13: 9781032206455
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
EUR 73,99
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. The integration of fog computing with the resource-limited Internet of Things (IoT) network formulates the concept of the fog-enabled IoT system. Due to a large number of IoT devices, the IoT is a main source of Big Data. A large volume of sensing data is generated by IoT systems such as smart cities and smart-grid applications. A fundamental research issue is how to provide a fast and efficient data analytics solution for fog-enabled IoT systems. Big Data Analytics in Fog-Enabled IoT Networks: Towards a Privacy and Security Perspective focuses on Big Data analytics in a fog-enabled-IoT system and provides a comprehensive collection of chapters that touch on different issues related to healthcare systems, cyber-threat detection, malware detection, and the security and privacy of IoT Big Data and IoT networks.This book also emphasizes and facilitates a greater understanding of various security and privacy approaches using advanced artificial intelligence and Big Data technologies such as machine and deep learning, federated learning, blockchain, and edge computing, as well as the countermeasures to overcome the vulnerabilities of the fog-enabled IoT system. This book emphasizes and facilitate a greater understanding of various security and privacy approaches using the advance AI and Big data technologies like machine/deep learning, federated learning, blockchain, edge computing and the countermeasures to overcome the vulnerabilities of the Fog-enabled IoT system. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 93,10
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - This book emphasizes and facilitate a greater understanding of various security and privacy approaches using the advance AI and Big data technologies like machine/deep learning, federated learning, blockchain, edge computing and the countermeasures to overcome the vulnerabilities of the Fog-enabled IoT system.
Editore: Taylor & Francis Ltd, London, 2024
ISBN 10: 1032206454 ISBN 13: 9781032206455
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 100,24
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. The integration of fog computing with the resource-limited Internet of Things (IoT) network formulates the concept of the fog-enabled IoT system. Due to a large number of IoT devices, the IoT is a main source of Big Data. A large volume of sensing data is generated by IoT systems such as smart cities and smart-grid applications. A fundamental research issue is how to provide a fast and efficient data analytics solution for fog-enabled IoT systems. Big Data Analytics in Fog-Enabled IoT Networks: Towards a Privacy and Security Perspective focuses on Big Data analytics in a fog-enabled-IoT system and provides a comprehensive collection of chapters that touch on different issues related to healthcare systems, cyber-threat detection, malware detection, and the security and privacy of IoT Big Data and IoT networks.This book also emphasizes and facilitates a greater understanding of various security and privacy approaches using advanced artificial intelligence and Big Data technologies such as machine and deep learning, federated learning, blockchain, and edge computing, as well as the countermeasures to overcome the vulnerabilities of the fog-enabled IoT system. This book emphasizes and facilitate a greater understanding of various security and privacy approaches using the advance AI and Big data technologies like machine/deep learning, federated learning, blockchain, edge computing and the countermeasures to overcome the vulnerabilities of the Fog-enabled IoT system. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 139,84
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 154,07
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Aggiungi al carrelloCondizione: New.
Da: Majestic Books, Hounslow, Regno Unito
EUR 150,11
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 140,35
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 147,95
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Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days. 185.
Da: Books Puddle, New York, NY, U.S.A.
EUR 159,60
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Aggiungi al carrelloCondizione: New.
EUR 148,04
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Aggiungi al carrelloCondizione: New. In.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 147,94
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Aggiungi al carrelloCondizione: New.
Da: Russell Books, Victoria, BC, Canada
Prima edizione
EUR 162,84
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Aggiungi al carrellohardcover. Condizione: New. 1st Edition. Special order direct from the distributor.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 163,43
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Aggiungi al carrelloCondizione: New.
Da: Revaluation Books, Exeter, Regno Unito
EUR 186,72
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Aggiungi al carrelloHardcover. Condizione: Brand New. 264 pages. 9.19x6.13x0.83 inches. In Stock.
Editore: Taylor & Francis Ltd, London, 2023
ISBN 10: 1032206446 ISBN 13: 9781032206448
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
EUR 155,95
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. The integration of fog computing with the resource-limited Internet of Things (IoT) network formulates the concept of the fog-enabled IoT system. Due to a large number of IoT devices, the IoT is a main source of Big Data. A large volume of sensing data is generated by IoT systems such as smart cities and smart-grid applications. A fundamental research issue is how to provide a fast and efficient data analytics solution for fog-enabled IoT systems. Big Data Analytics in Fog-Enabled IoT Networks: Towards a Privacy and Security Perspective focuses on Big Data analytics in a fog-enabled-IoT system and provides a comprehensive collection of chapters that touch on different issues related to healthcare systems, cyber-threat detection, malware detection, and the security and privacy of IoT Big Data and IoT networks.This book also emphasizes and facilitates a greater understanding of various security and privacy approaches using advanced artificial intelligence and Big Data technologies such as machine and deep learning, federated learning, blockchain, and edge computing, as well as the countermeasures to overcome the vulnerabilities of the fog-enabled IoT system. This book emphasizes and facilitate a greater understanding of various security and privacy approaches using the advance AI and Big data technologies like machine/deep learning, federated learning, blockchain, edge computing and the countermeasures to overcome the vulnerabilities of the Fog-enabled IoT system. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 74,54
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 70,36
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Aggiungi al carrelloPAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: Revaluation Books, Exeter, Regno Unito
EUR 64,07
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Aggiungi al carrelloPaperback. Condizione: Brand New. 232 pages. 9.18x6.12x9.21 inches. In Stock. This item is printed on demand.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 79,67
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Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 526.