Youyang (72 results)
Language: English
Published by Springer, 2022
Series: SpringerBriefs in Computer Science, Book 8 of 60. Book 8 of 60 - SpringerBriefs in Computer Science
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Published by Springer Verlag, Singapore, Singapore, 2022
Series: SpringerBriefs in Computer Science, Book 8 of 60. Book 8 of 60 - SpringerBriefs in Computer Science
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Paperback. Condition: new. Paperback. This book aims to sort out the clear logic of the development of machine learning-driven privacy preservation in IoTs, including the advantages and disadvantages, as well as the future directions in this under-explored domain. In big data era, an increasingly massive volume of data is genera…ted and transmitted in Internet of Things (IoTs), which poses great threats to privacy protection. Motivated by this, an emerging research topic, machine learning-driven privacy preservation, is fast booming to address various and diverse demands of IoTs. However, there is no existing literature discussion on this topic in a systematically manner.The issues of existing privacy protection methods (differential privacy, clustering, anonymity, etc.) for IoTs, such as low data utility, high communication overload, and unbalanced trade-off, are identified to the necessity of machine learning-driven privacy preservation. Besides, the leading and emerging attacks pose further threats to privacy protection in this scenario. To mitigate the negative impact, machine learning-driven privacy preservation methods for IoTs are discussed in detail on both the advantages and flaws, which is followed by potentially promising research directions.Readers may trace timely contributions on machine learning-driven privacy preservation in IoTs. The advances cover different applications, such as cyber-physical systems, fog computing, and location-based services. This book will be of interest to forthcoming scientists, policymakers, researchers, and postgraduates. This book aims to sort out the clear logic of the development of machine learning-driven privacy preservation in IoTs, including the advantages and disadvantages, as well as the future directions in this under-explored domain. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Language: English
Published by Springer, 2022
Series: SpringerBriefs in Computer Science, Book 8 of 60. Book 8 of 60 - SpringerBriefs in Computer Science
- Softcover
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Language: English
Published by Springer, 2022
Series: SpringerBriefs in Computer Science, Book 8 of 60. Book 8 of 60 - SpringerBriefs in Computer Science
- Softcover
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Language: English
Published by Springer, 2022
Series: SpringerBriefs in Computer Science, Book 8 of 60. Book 8 of 60 - SpringerBriefs in Computer Science
- Softcover
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Language: English
Published by Springer, 2022
Series: SpringerBriefs in Computer Science, Book 8 of 60. Book 8 of 60 - SpringerBriefs in Computer Science
- Softcover
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Language: English
Published by Springer, 2022
Series: SpringerBriefs in Computer Science, Book 8 of 60. Book 8 of 60 - SpringerBriefs in Computer Science
- Softcover
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Language: English
Published by Springer, 2022
Series: SpringerBriefs in Computer Science, Book 8 of 60. Book 8 of 60 - SpringerBriefs in Computer Science
- Softcover
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Published by Springer, 2022
Series: SpringerBriefs in Computer Science, Book 8 of 60. Book 8 of 60 - SpringerBriefs in Computer Science
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Language: English
Published by Springer, 2022
Series: SpringerBriefs in Computer Science, Book 8 of 60. Book 8 of 60 - SpringerBriefs in Computer Science
- Softcover
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Condition: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
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Language: English
Published by Springer, 2022
Series: SpringerBriefs in Computer Science, Book 8 of 60. Book 8 of 60 - SpringerBriefs in Computer Science
- Softcover
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Tools for Design, Implementation and Verification of Emerging Information Technologies: 17th Eai International Conference, Tridentcom 2022, Melbourne, Australia, November 23-25, 2022, Proceedings
Yu, Shui (Editor)/ Gu, Bruce (Editor)/ Qu, Youyang (Editor)/ Wang, Xiaodong (Editor)
- Softcover
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Language: English
Published by Springer, Berlin|Springer Nature Singapore|Springer, 2022
- Softcover
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Published by Springer, Berlin|Springer Nature Singapore|Springer, 2021
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Language: English
Published by Springer Verlag, Singapore, Singapore, 2022
Series: SpringerBriefs in Computer Science, Book 8 of 60. Book 8 of 60 - SpringerBriefs in Computer Science
- Softcover
- First Edition
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Paperback. Condition: new. Paperback. This book aims to sort out the clear logic of the development of machine learning-driven privacy preservation in IoTs, including the advantages and disadvantages, as well as the future directions in this under-explored domain. In big data era, an increasingly massive volume of data is genera…ted and transmitted in Internet of Things (IoTs), which poses great threats to privacy protection. Motivated by this, an emerging research topic, machine learning-driven privacy preservation, is fast booming to address various and diverse demands of IoTs. However, there is no existing literature discussion on this topic in a systematically manner.The issues of existing privacy protection methods (differential privacy, clustering, anonymity, etc.) for IoTs, such as low data utility, high communication overload, and unbalanced trade-off, are identified to the necessity of machine learning-driven privacy preservation. Besides, the leading and emerging attacks pose further threats to privacy protection in this scenario. To mitigate the negative impact, machine learning-driven privacy preservation methods for IoTs are discussed in detail on both the advantages and flaws, which is followed by potentially promising research directions.Readers may trace timely contributions on machine learning-driven privacy preservation in IoTs. The advances cover different applications, such as cyber-physical systems, fog computing, and location-based services. This book will be of interest to forthcoming scientists, policymakers, researchers, and postgraduates. This book aims to sort out the clear logic of the development of machine learning-driven privacy preservation in IoTs, including the advantages and disadvantages, as well as the future directions in this under-explored domain. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
More imagesLanguage: English
Published by Springer, 2022
Series: SpringerBriefs in Computer Science, Book 8 of 60. Book 8 of 60 - SpringerBriefs in Computer Science
- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: Neu. Privacy Preservation in IoT: Machine Learning Approaches | A Comprehensive Survey and Use Cases | Youyang Qu (u. a.) | Taschenbuch | xi | Englisch | 2022 | Springer | EAN 9789811917967 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann…[at]springer[dot]com | Anbieter: preigu.
