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Deep Learning Techniques for IoT Security and Privacy.
Book 493 of 538: Studies in Computational IntelligenceLanguage: English
Published by Cham, Springer International Publishing : Imprint: Springer., 2022
ISBN 10: 3030890244 ISBN 13: 9783030890247
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
Association Member: GIAQ ILAB VDA
Seller rating 4 out of 5 stars
First Edition
1st ed. 2022. XXI, 257 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Studies in Computational Intelligence, 997. Sprache: Englisch.
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Privacy-Preserving Deep Learning: A Comprehensive Survey (SpringerBriefs on Cyber Security Systems and Networks)
Book 9 of 10: SpringerBriefs on Cyber Security Systems and NetworksSeller: Ria Christie Collections, Uxbridge, United Kingdom
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£ 61.04
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Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
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Deep Learning Techniques for IoT Security and Privacy (Studies in Computational Intelligence)
Book 493 of 538: Studies in Computational IntelligenceSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Deep Learning Techniques for IoT Security and Privacy (Studies in Computational Intelligence, 997)
Book 493 of 538: Studies in Computational IntelligenceSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Deep Learning Techniques for Iot Security and Privacy
Book 493 of 538: Studies in Computational IntelligenceSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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£ 137.83
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Deep Learning for Security and Privacy Preservation in Iot
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Deep Learning Techniques for Iot Security and Privacy
Book 493 of 538: Studies in Computational IntelligenceSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Deep Learning for Security and Privacy Preservation in IoT (Signals and Communication Technology)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Deep Learning for Security and Privacy Preservation in IoT (Signals and Communication Technology)
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Deep Learning for Security and Privacy Preservation in IoT
Language: English
Published by Springer Nature Singapore, 2023
ISBN 10: 981166188X ISBN 13: 9789811661884
Condition: Gut. Zustand: Gut | Sprache: Englisch | Produktart: Bücher | This book addresses the issues with privacy and security in Internet of things (IoT) networks which are susceptible to cyber-attacks and proposes deep learning-based approaches using artificial neural networks models to achieve a safer and more secured IoT environment. Due to the inadequacy of existing solutions to cover the entire IoT network security spectrum, the book utilizes artificial neural network models, which are used to classify, recognize, and model complex data including images, voice, and text, to enhance the level of security and privacy of IoT. This is applied to several IoT applications which include wireless sensor networks (WSN), meter reading transmission in smart grid, vehicular ad hoc networks (VANET), industrial IoT and connected networks. The book serves as a reference for researchers, academics, and network engineers who want to develop enhanced security and privacy features in the design of IoT systems.
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Deep Learning for Security and Privacy Preservation in IoT
Language: English
Published by Springer Nature Singapore, 2023
ISBN 10: 981166188X ISBN 13: 9789811661884
Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book addresses the issues with privacy and security in Internet of things (IoT) networks which are susceptible to cyber-attacks and proposes deep learning-based approaches using artificial neural networks models to achieve a safer and more secured IoT environment. Due to the inadequacy of existing solutions to cover the entire IoT network security spectrum, the book utilizes artificial neural network models, which are used to classify, recognize, and model complex data including images, voice, and text, to enhance the level of security and privacy of IoT. This is applied to several IoT applications which include wireless sensor networks (WSN), meter reading transmission in smart grid, vehicular ad hoc networks (VANET), industrial IoT and connected networks. The book serves as a reference for researchers, academics, and network engineers who want to develop enhanced security and privacy features in the design of IoT systems.
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Condition: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
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Condition: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
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Taschenbuch. Condition: Neu. Deep Learning Techniques for IoT Security and Privacy | Mohamed Abdel-Basset (u. a.) | Taschenbuch | xxi | Englisch | 2022 | Springer | EAN 9783030890278 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Deep Learning for Security and Privacy Preservation in Iot
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Deep Learning Strategies for Security Enhancement in Wireless Sensor Networks (Advances in Information Security, Privacy, and Ethics)
Language: English
Published by Information Science Reference, 2020
ISBN 10: 1799850684 ISBN 13: 9781799850687
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Deep Learning Techniques for IoT Security and Privacy
Book 493 of 538: Studies in Computational IntelligenceLanguage: English
Published by Springer International Publishing, 2022
ISBN 10: 3030890279 ISBN 13: 9783030890278
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book states that the major aim audience are people who have some familiarity with Internet of things (IoT) but interested to get a comprehensive interpretation of the role of deep Learning in maintaining the security and privacy of IoT. A reader should be friendly with Python and the basics of machine learning and deep learning. Interpretation of statistics and probability theory will be a plus but is not certainly vital for identifying most of the book's material.
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Deep Learning Techniques for IoT Security and Privacy
Book 493 of 538: Studies in Computational IntelligenceLanguage: English
Published by Springer International Publishing, 2021
ISBN 10: 3030890244 ISBN 13: 9783030890247
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book states that the major aim audience are people who have some familiarity with Internet of things (IoT) but interested to get a comprehensive interpretation of the role of deep Learning in maintaining the security and privacy of IoT. A reader should be friendly with Python and the basics of machine learning and deep learning. Interpretation of statistics and probability theory will be a plus but is not certainly vital for identifying most of the book's material.
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Paperback. Condition: Brand New. 278 pages. 9.25x6.10x0.75 inches. In Stock.
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Applications of Machine Learning and Deep Learning for Privacy and Cybersecurity (Advances in Information Security, Privacy, and Ethics)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 209.53
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Taschenbuch. Condition: Neu. Deep Learning for Security and Privacy Preservation in IoT | Aaisha Makkar (u. a.) | Taschenbuch | xii | Englisch | 2023 | Springer | EAN 9789811661884 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Deep Learning For Security And Privacy P
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New.
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Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
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Deep Learning for Security and Privacy Preservation in IoT
Language: English
Published by Springer Nature Singapore, Springer Nature Singapore, 2022
ISBN 10: 9811661855 ISBN 13: 9789811661853
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book addresses the issues with privacy and security in Internet of things (IoT) networks which are susceptible to cyber-attacks and proposes deep learning-based approaches using artificial neural networks models to achieve a safer and more secured IoT environment. Due to the inadequacy of existing solutions to cover the entire IoT network security spectrum, the book utilizes artificial neural network models, which are used to classify, recognize, and model complex data including images, voice, and text, to enhance the level of security and privacy of IoT. This is applied to several IoT applications which include wireless sensor networks (WSN), meter reading transmission in smart grid, vehicular ad hoc networks (VANET), industrial IoT and connected networks. The book serves as a reference for researchers, academics, and network engineers who want to develop enhanced security and privacy features in the design of IoT systems.
