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The 2020 International Conference on...
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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and PrivacySPIoT-2020.Volume 2 /
Record Type:
Electronic resources : Monograph/item
Title/Author:
The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacyedited by John MacIntyre, Jinghua Zhao, Xiaomeng Ma.
Reminder of title:
SPIoT-2020.
remainder title:
SPIoT-2020
other author:
MacIntyre, John.
corporate name:
Published:
Cham :Springer International Publishing :2021.
Description:
xxxii, 863 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Internet of thingsCongresses.Security measures
Online resource:
https://doi.org/10.1007/978-3-030-62746-1
ISBN:
9783030627461$q(electronic bk.)
The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and PrivacySPIoT-2020.Volume 2 /
The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy
SPIoT-2020.Volume 2 /[electronic resource] :SPIoT-2020edited by John MacIntyre, Jinghua Zhao, Xiaomeng Ma. - Cham :Springer International Publishing :2021. - xxxii, 863 p. :ill., digital ;24 cm. - Advances in intelligent systems and computing,v.12832194-5357 ;. - Advances in intelligent systems and computing ;176..
This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2020), held in Shanghai, China, on November 6, 2020. Due to the COVID-19 outbreak problem, SPIoT-2020 conference was held online by Tencent Meeting. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.
ISBN: 9783030627461$q(electronic bk.)
Standard No.: 10.1007/978-3-030-62746-1doiSubjects--Topical Terms:
773751
Internet of things
--Security measures--Congresses.
LC Class. No.: TK5105.8857 / .S65 2020
Dewey Class. No.: 004.678
The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and PrivacySPIoT-2020.Volume 2 /
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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.
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Intelligent Technologies and Robotics (SpringerNature-42732)
based on 0 review(s)
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EB TK5105.8857 .S758 2020 2021
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https://doi.org/10.1007/978-3-030-62746-1
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