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paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Big Data Analytics in Fog-Enabled IoT Networks (Paperback)
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032206454 ISBN 13: 9781032206455
Language: English
Paperback. Condition: 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.
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Condition: New. pages cm First edition Includes bibliographical references.
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Big Data Analytics in Fog-Enabled IoT Networks: Towards a Privacy and Security Perspective
Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032206454 ISBN 13: 9781032206455
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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US$ 72.63
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Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 360.
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Big Data Analytics in Fog-enabled Iot Networks : Towards a Privacy and Security Perspective
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Big Data Analytics in Fog-Enabled IoT Networks
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Big Data Analytics in Fog-Enabled IoT Networks (Paperback)
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032206454 ISBN 13: 9781032206455
Language: English
US$ 64.28
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Add to basketPaperback. Condition: 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.
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Big Data Analytics in Fog-enabled Iot Networks : Towards a Privacy and Security Perspective
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Add to basketPaperback. Condition: Brand New. 232 pages. 9.18x6.12x9.21 inches. In Stock.
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Big Data Analytics in Fog-Enabled IoT Networks (Paperback)
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032206454 ISBN 13: 9781032206455
Language: English
US$ 83.72
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Add to basketPaperback. Condition: 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.
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Big Data Analytics in Fog-Enabled IoT Networks: Towards a Privacy and Security Perspective
Published by Taylor & Francis Ltd, 2023
ISBN 10: 1032206446 ISBN 13: 9781032206448
Language: English
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Add to basketHardback. Condition: New. New copy - Usually dispatched within 4 working days. 185.
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Fog Data Analytics for IoT Applications: Next Generation Process Model with State of the Art Technologies (Studies in Big Data, 76)
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Big Data Analytics in Fog-Enabled IoT Networks : Towards a Privacy and Security Perspective
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Big Data Analytics in Fog-Enabled IoT Networks
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Big Data Analytics in Fog-Enabled IoT Networks : Towards a Privacy and Security Perspective
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Fog Data Analytics for IoT Applications : Next Generation Process Model with State of the Art Technologies
Published by Springer Nature Singapore, Springer Nature Singapore, 2021
ISBN 10: 9811560463 ISBN 13: 9789811560460
Language: English
US$ 173.53
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Add to basketTaschenbuch. Condition: 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.
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Condition: New. 1st ed. 2020 edition NO-PA16APR2015-KAP.
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Fog Data Analytics for IoT Applications
Published by Springer Nature Singapore, Springer Nature Singapore Aug 2021, 2021
ISBN 10: 9811560463 ISBN 13: 9789811560460
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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US$ 168.41
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Add to basketTaschenbuch. Condition: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 516 pp. Englisch.
