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

The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy
Author :
Publisher : Springer Nature
Total Pages : 907
Release :
ISBN-10 : 9783030627430
ISBN-13 : 3030627438
Rating : 4/5 (438 Downloads)

Book Synopsis The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy by : John MacIntyre

Download or read book The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy written by John MacIntyre and published by Springer Nature. This book was released on 2020-11-03 with total page 907 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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

The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy
Language: en
Pages: 907
Authors: John MacIntyre
Categories: Computers
Type: BOOK - Published: 2020-11-03 - Publisher: Springer Nature

GET EBOOK

This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2020), he
The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy
Language: en
Pages: 887
Authors: John MacIntyre
Categories: Computers
Type: BOOK - Published: 2020-11-04 - Publisher: Springer Nature

GET EBOOK

This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2020), he
The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy
Language: en
Pages: 1169
Authors: John Macintyre
Categories: Computers
Type: BOOK - Published: 2021-10-27 - Publisher: Springer Nature

GET EBOOK

This book presents the proceedings of the 2020 2nd International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2021)
The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy
Language: en
Pages: 999
Authors: John Macintyre
Categories: Computers
Type: BOOK - Published: 2021-11-02 - Publisher: Springer Nature

GET EBOOK

This book presents the proceedings of the 2020 2nd International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2021)
Proceedings of the 13th International Conference on Computer Engineering and Networks
Language: en
Pages: 585
Authors: Yonghong Zhang
Categories: Technology & Engineering
Type: BOOK - Published: 2024-01-03 - Publisher: Springer Nature

GET EBOOK

This book aims to examine innovation in the fields of computer engineering and networking. The text covers important developments in areas such as artificial in