Electronic Resource

The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

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Penilaian

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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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Availability

Inventory Code	Barcode	Call Number	Location	Status
1908001442	EB0002048	004.678 The	Central Library (OPAC)	Available

Detail Information

Series Title

-

Call Number

004.678 The

Publisher

Switzerland : Springer Cham., 2020

Collation

xxxi, 884p.:Ill

Language

English

ISBN/ISSN

978-3-030-62743-0

Classification

004.678

Content Type

Ebook

Media Type

-

Carrier Type

online resource

Edition

1

Subject(s)

Computer networks--Security measures

Specific Detail Info

-

Statement of Responsibility

BRF

Other version/related

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