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The 2020 International Conference on Machine Learning and Big Data Analytics for Iot Security and Privacy: Spiot-2020 (1) - Brossura
- EditoreSpringer-Nature New York Inc
- Data di pubblicazione2020
- ISBN 10 303062742X
- ISBN 13 9783030627423
- RilegaturaCopertina flessibile
- LinguaInglese
- Numero edizione1
- Numero di pagine916
- RedattoreMacIntyre John, Zhao Jinghua, Ma Xiaomeng
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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy: SPIoT-2020, Volume 1 (Advances in Intelligent Systems and Computing, 1282)
Da: Phatpocket Limited, Waltham Abbey, HERTS, Regno Unito
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Condizione: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions. Codice articolo Z1-X-017-02470
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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy: SPIoT-2020, Volume 1 (Advances in Intelligent Systems and Computing, 1282)
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy
Editore:
Springer International Publishing, 2020
ISBN 10: 303062742X
ISBN 13: 9783030627423
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Da: moluna, Greven, Germania
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Includes researches in the field of Machine Learning and Big Data Analytics for IoT Security and PrivacyPresents the proceedings of the 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security . Codice articolo 412463905
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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy
Editore:
Springer International Publishing Nov 2020, 2020
ISBN 10: 303062742X
ISBN 13: 9783030627423
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2020), held in Shanghai, China, on November 6, 2020. Due to the COVID-19 outbreak problem, SPIoT-2020 conference was held online by Tencent Meeting. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field. 916 pp. Englisch. Codice articolo 9783030627423
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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy: SPIoT-2020, Volume 1 (Advances in Intelligent Systems and Computing, 1282)
Da: Ria Christie Collections, Uxbridge, Regno Unito
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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy : SPIoT-2020, Volume 1
ISBN 10: 303062742X
ISBN 13: 9783030627423
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2020), held in Shanghai, China, on November 6, 2020. Due to the COVID-19 outbreak problem, SPIoT-2020 conference was held online by Tencent Meeting. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field. Codice articolo 9783030627423
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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy: SPIoT-2020, Volume 1 (Advances in Intelligent Systems and Computing, 1282)
Da: California Books, Miami, FL, U.S.A.
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Condizione: New. Codice articolo I-9783030627423
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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy
Da: Books Puddle, New York, NY, U.S.A.
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Condizione: New. pp. XXXI, 884 221 illus., 150 illus. in color. 1 Edition NO-PA16APR2015-KAP. Codice articolo 26384562816
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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy
Print on DemandDa: Majestic Books, Hounslow, Regno Unito
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Condizione: New. Print on Demand pp. XXXI, 884 221 illus., 150 illus. in color. Codice articolo 379341151
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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy
Print on DemandDa: Biblios, Frankfurt am main, HESSE, Germania
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Condizione: New. PRINT ON DEMAND pp. XXXI, 884 221 illus., 150 illus. in color. Codice articolo 18384562826
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