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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
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 44.30
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Privacy Preservation in IoT: Machine Learning Approaches (Paperback)
Book 8 of 60: SpringerBriefs in Computer ScienceLanguage: English
Published by Springer Verlag, Singapore, Singapore, 2022
ISBN 10: 9811917965 ISBN 13: 9789811917967
First Edition
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 generated 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.
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Condition: New.
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Condition: New.
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Privacy Preservation in IoT: Machine Learning Approaches: A Comprehensive Survey and Use Cases (SpringerBriefs in Computer Science)
Book 8 of 60: SpringerBriefs in Computer ScienceSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 49.30
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Personalized Privacy Protection in Big Data
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Privacy Preservation in Iot - Machine Learning Approaches : A Comprehensive Survey and Use Cases
Book 8 of 60: SpringerBriefs in Computer ScienceSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Hardcover. Condition: New.
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Tools for Design, Implementation and Verification of Emerging Information Technologies (Paperback)
Language: English
Published by Springer International Publishing AG, Cham, 2023
ISBN 10: 3031334574 ISBN 13: 9783031334573
First Edition
Paperback. Condition: new. Paperback. This book constitutes the refereed post-conference proceedings of the 17th EAI International Conference on Tools for Design, Implementation and Verification of Emerging Information Technologies, TridentCom 2022, which was held in Melbourne, Australia, in November 23-25,2022. The 11 full papers were selected from 30 submissions and deal the emerging technologies of big data, cyber-physical systems and computer communications. The papers are grouped in thematical sessions on network security; network communication; network services; mobile and ad hoc networks; blockchain; machine learning. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Personalized Privacy Protection in Big Data (Data Analytics)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 52.43
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Personalized Privacy Protection in Big Data
Language: English
Published by Springer Verlag, Singapore, SG, 2021
ISBN 10: 9811637490 ISBN 13: 9789811637490
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. 2021 ed. This book presents the data privacy protection which has been extensively applied in our current era of big data. However, research into big data privacy is still in its infancy. Given the fact that existing protection methods can result in low data utility and unbalanced trade-offs, personalized privacy protection has become a rapidly expanding research topic.In this book, the authors explore emerging threats and existing privacy protection methods, and discuss in detail both the advantages and disadvantages of personalized privacy protection. Traditional methods, such as differential privacy and cryptography, are discussed using a comparative and intersectional approach, and are contrasted with emerging methods like federated learning and generative adversarial nets.The advances discussed cover various applications, e.g. cyber-physical systems, social networks, and location-based services. Given its scope, the book is of interest to scientists, policy-makers, researchers, and postgraduates alike.
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Personalized Privacy Protection in Big Data (Paperback)
Language: English
Published by Springer Verlag, Singapore, Singapore, 2022
ISBN 10: 9811637520 ISBN 13: 9789811637520
Paperback. Condition: new. Paperback. This book presents the data privacy protection which has been extensively applied in our current era of big data. However, research into big data privacy is still in its infancy. Given the fact that existing protection methods can result in low data utility and unbalanced trade-offs, personalized privacy protection has become a rapidly expanding research topic.In this book, the authors explore emerging threats and existing privacy protection methods, and discuss in detail both the advantages and disadvantages of personalized privacy protection. Traditional methods, such as differential privacy and cryptography, are discussed using a comparative and intersectional approach, and are contrasted with emerging methods like federated learning and generative adversarial nets.The advances discussed cover various applications, e.g. cyber-physical systems, social networks, and location-based services. Given its scope, the book is of interest to scientists, policy-makers, researchers, and postgraduates alike. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Personalized Privacy Protection in Big Data (Hardcover)
Language: English
Published by Springer Verlag, Singapore, Singapore, 2021
ISBN 10: 9811637490 ISBN 13: 9789811637490
Hardcover. Condition: new. Hardcover. This book presents the data privacy protection which has been extensively applied in our current era of big data. However, research into big data privacy is still in its infancy. Given the fact that existing protection methods can result in low data utility and unbalanced trade-offs, personalized privacy protection has become a rapidly expanding research topic.In this book, the authors explore emerging threats and existing privacy protection methods, and discuss in detail both the advantages and disadvantages of personalized privacy protection. Traditional methods, such as differential privacy and cryptography, are discussed using a comparative and intersectional approach, and are contrasted with emerging methods like federated learning and generative adversarial nets.The advances discussed cover various applications, e.g. cyber-physical systems, social networks, and location-based services. Given its scope, the book is of interest to scientists, policy-makers, researchers, and postgraduates alike. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Condition: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
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Tools for Design, Implementation and Verification of Emerging Information Technologies: 17th EAI International Conference, TridentCom 2022, Melbourne, ... and Telecommunications Engineering, 489)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 59.30
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
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Personalized Privacy Protection in Big Data (Data Analytics)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 59.62
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
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Personalized Privacy Protection in Big Data
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Privacy Preservation in Iot - Machine Learning Approaches : A Comprehensive Survey and Use Cases
Book 8 of 60: SpringerBriefs in Computer ScienceSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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PF. Condition: New.
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Privacy Preservation In Iot: Machine Lea
Book 8 of 60: SpringerBriefs in Computer ScienceSeller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New.
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Condition: New.
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