Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 58,13
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EUR 62,88
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 68,38
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Editore: Taylor & Francis Ltd, London, 2024
ISBN 10: 1032206454 ISBN 13: 9781032206455
Lingua: Inglese
Da: Grand Eagle Retail, Fairfield, OH, U.S.A.
EUR 72,68
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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 63,97
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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 59,70
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EUR 78,81
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Aggiungi al carrelloCondizione: New. pages cm First edition Includes bibliographical references.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 63,96
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EUR 69,07
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EUR 71,33
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Da: Revaluation Books, Exeter, Regno Unito
EUR 87,03
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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 73,72
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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 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 99,80
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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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 135,70
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 139,26
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 152,26
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Da: Majestic Books, Hounslow, Regno Unito
EUR 148,34
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 139,81
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 144,33
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 147,42
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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 157,72
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EUR 147,50
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 147,40
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Da: California Books, Miami, FL, U.S.A.
EUR 166,96
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Da: Russell Books, Victoria, BC, Canada
Prima edizione
EUR 160,93
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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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Editore: Springer Nature Singapore, Springer Nature Singapore, 2021
ISBN 10: 9811560463 ISBN 13: 9789811560460
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 143,31
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book discusses the unique nature and complexity of fog data analytics (FDA) and develops a comprehensive taxonomy abstracted into a process model. The exponential increase in sensors and smart gadgets (collectively referred as smart devices or Internet of things (IoT) devices) has generated significant amount of heterogeneous and multimodal data, known as big data. To deal with this big data, we require efficient and effective solutions, such as data mining, data analytics and reduction to be deployed at the edge of fog devices on a cloud. Current research and development efforts generally focus on big data analytics and overlook the difficulty of facilitating fog data analytics (FDA). This book presents a model that addresses various research challenges, such as accessibility, scalability, fog nodes communication, nodal collaboration, heterogeneity, reliability, and quality of service (QoS) requirements, and includes case studies demonstrating its implementation. Focusing on FDAin IoT and requirements related to Industry 4.0, it also covers all aspects required to manage the complexity of FDA for IoT applications and also develops a comprehensive taxonomy.
Da: Revaluation Books, Exeter, Regno Unito
EUR 185,98
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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 155,38
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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.