Internet Multimedia Things Security (15 results)

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  • Language: English

    Published by The Institution of Engineering and Technology, 2026

    183724135X / 9781837241354

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  • Language: English

    Published by Elsevier, 2026

    0443328846 / 9780443328848

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    Paperback. Condition: New. A NEW COPY but with very minor shelving/packing damage.; 100% Satisfaction Guaranteed! Ships same or next business day.

  • Language: English

    Published by Institution of Engineering and Technology, 2026

    183724135X / 9781837241354

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  • Language: English

    Published by Institution of Engineering and Technology, 2026

    183724135X / 9781837241354

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    Hardcover. Condition: Brand New. 350 pages. 6.14x2.00x9.21 inches. In Stock.

  • Language: English

    Published by Institution Of Engineering & Technology Sep 2026, 2026

    183724135X / 9781837241354

    • Hardcover

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    Buch. Condition: Neu. Neuware - We are living in an AI and data-driven era. A huge volume of data is generated from all sectors including smart cities, intelligent transportation systems, smart healthcare, education, smart agriculture and smart industrial processes. This information comprises multiple modalities such as textual data, images, sound, gestures and genetic sequences, which are generated through various sources. The internet of multimedia things (IoMT) is one of the key contributors to the collection, analysis and management of voluminous multimodal data. The dominating features of IoMTs are well-timed delivery of data and dependability, but they require high levels of memory and computational power, which requires higher bandwidth and more power. Therefore, they require rigorous quality of service (QoS) and efficient, reliable and secure network frameworks. The objective of this book is to explore machine learning (ML) and deep learning (DL) techniques for securing data with multiple modalities in a wide range of data-centric smart applications in the IoMT framework. In all data-centric application domains where on-time availability of data and reliability are the major concerns, IoMT is contributing significantly. The authors present the challenges faced to organize and process multimodal data in data-centric applications, several types of data modalities, and innovative IoMT frameworks. A particular focus is placed on the role of ML and DL techniques in securing multi-modal data for real-time monitoring in smart environment applications. Machine Learning and Deep Learning Driven Techniques for Multimodal Data Security in the Internet of Multimedia Things caters to the needs of AI, big data and IoT advanced students, academic and industry researchers, engineers, security experts, data analysts, and AI and data-centric application developers.…

  • Language: English

    Published by Elsevier, 2026

    0443328846 / 9780443328848

    • Softcover

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  • Language: English

    Published by Elsevier, 2026

    0443328846 / 9780443328848

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  • Language: English

    Published by Elsevier, 2026

    0443328846 / 9780443328848

    • Softcover

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  • Language: English

    Published by Elsevier, 2026

    0443328846 / 9780443328848

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  • Language: English

    Published by Elsevier Science, 2026

    0443328846 / 9780443328848

    • Softcover

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    Condition: New. Offers a comprehensive understanding of the foundational principles of the Internet of Multimedia Things and its practical applications in IoTProvides practical applications and case studies in the application of IoMT securityDiscu.

  • Language: English

    Published by Elsevier Science & Technology, Elsevier Jan 2026, 2026

    0443328846 / 9780443328848

    • Softcover

    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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    Taschenbuch. Condition: Neu. Neuware - The proliferation of IoT devices and the exponential growth of multimedia brings opportunities and challenges. IoMT has uses in a variety of fields, including healthcare, education, agriculture, communication and entertainment, but IoMT networks are susceptible to security issues that must be addressed. Internet of Multimedia Things Security: Tools and Applications introduces the principles behind the IoMT by exploring three converging three domains: Internet of Things, Data Security, and Multimedia. It covers vulnerabilities such as cyber-attacks, unauthorized access, data breaches, and privacy preservation, and provides case studies to assist research students and engineers in securely incorporate multimedia into their applications.…

  • Language: English

    Published by The Institution of Engineering and Technology, 2026

    183724135X / 9781837241354

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    Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

  • Language: English

    Published by Institution of Engineering and Technology, Stevenage, 2026

    183724135X / 9781837241354

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    Hardcover. Condition: new. Hardcover. We are living in an AI and data-driven era. A huge volume of data is generated from all sectors including smart cities, intelligent transportation systems, smart healthcare, education, smart agriculture and smart industrial processes. This information comprises multiple modalities such as textual data, images, sound, gestures and genetic sequences, which are generated through various sources.The internet of multimedia things (IoMT) is one of the key contributors to the collection, analysis and management of voluminous multimodal data. The dominating features of IoMTs are well-timed delivery of data and dependability, but they require high levels of memory and computational power, which requires higher bandwidth and more power. Therefore, they require rigorous quality of service (QoS) and efficient, reliable and secure network frameworks.The objective of this book is to explore machine learning (ML) and deep learning (DL) techniques for securing data with multiple modalities in a wide range of data-centric smart applications in the IoMT framework. In all data-centric application domains where on-time availability of data and reliability are the major concerns, IoMT is contributing significantly. The authors present the challenges faced to organize and process multimodal data in data-centric applications, several types of data modalities, and innovative IoMT frameworks. A particular focus is placed on the role of ML and DL techniques in securing multi-modal data for real-time monitoring in smart environment applications.Machine Learning and Deep Learning Driven Techniques for Multimodal Data Security in the Internet of Multimedia Things caters to the needs of AI, big data and IoT advanced students, academic and industry researchers, engineers, security experts, data analysts, and AI and data-centric application developers. This book explores machine learning (ML) and deep learning (DL) techniques for securing data with multiple modalities in a wide range of AI and data-centric smart applications within the Internet of Multimedia Things (IoMT) framework. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

  • Language: English

    Published by Elsevier - Health Sciences Division, Philadelphia, 2026

    0443328846 / 9780443328848

    • Softcover
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    Paperback. Condition: new. Paperback. Internet of Multimedia Things Security: Tools and Applications This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

  • Language: English

    Published by Elsevier - Health Sciences Division, Philadelphia, 2026

    0443328846 / 9780443328848

    • Softcover
    • Print on Demand

    Seller: CitiRetail, Stevenage, United KingdomCitiRetail

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    Paperback. Condition: new. Paperback. Internet of Multimedia Things Security: Tools and Applications This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.