The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy : SPIoT-2021. Volume 1 / John Macintyre, Jinghua Zhao, Xiaomeng Ma, editors.
SPIoT (Conference) (2nd : 2021 : Online); MacIntyre, J. D. (John D.), editor.; Zhao, Jinghua, editor.; Ma, Xiaomeng, editor.
2022
TK5105.8857 .I58 2021
Available Online

Linked e-resources

Linked Resource Online Access
Concurrent users Unlimited
Authorized users Authorized users
Document Delivery Supplied Can lend chapters, not whole ebooks

Details

Title The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy : SPIoT-2021. Volume 1 / John Macintyre, Jinghua Zhao, Xiaomeng Ma, editors.
Meeting Name SPIoT (Conference) (2nd : 2021 : Online)
ISBN 9783030895082 (electronic bk.)
3030895084 (electronic bk.)
9783030895075
3030895106
9783030895105
3030895076
DOI https://doi.org/10.1007/978-3-030-89508-2
Published Cham : Springer, [2022]
Copyright ©2022
Language English
Description 1 online resource (XXI, 1154 pages) : illustrations (some color)
Other Standard Identifiers 10.1007/978-3-030-89508-2 doi
Call Number TK5105.8857 .I58 2021
Dewey Decimal Classification 004.67/8
Summary 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), online conference, on 30 October 2021. 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.
Note International conference proceedings.
Includes author index.
Access Note Access limited to authorized users.
Digital File Characteristics text file
PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed November 3, 2021).
Added Author MacIntyre, J. D. (John D.), editor.
Zhao, Jinghua, editor.
Ma, Xiaomeng, editor.
Series Lecture notes on data engineering and communications technologies ; volume 97. 2367-4520
Available in Other Form 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
Application of Artificial Intelligence in Arrangement Creation
Automatic Segmentation for Retinal Vessel Using Concatenate UNet++
Experimental Analysis of Mandarin Tone Pronunciation of Tibetan College Students for Artificial Intelligence Speech Recognition
Exploration of Paths for Artificial Intelligence Technology to Promote Economic Development
Influence of RPA Financial Robot on Financial Accounting and its Countermeasures
Application of Artificial Intelligence Technology in English Online Learning Platform
Spectral Identification Model of NIR Origin Based on Deep Extreme Learning Machine
Frontier Application and Development Trend of Artificial Intelligence in New Media in the AI Era
Analysis on the Application of Machine Learning Stock Selection Algorithm in the Financial Field
Default Risk Prediction Based on Machine Learning under Big Data Analysis Technology
Application of Intelligent Detection Technology and Machine Learning Algorithm in Music Intelligent System
Application of 3D Computer Aided System in Dance Creation and Learning
Data Selection and Machine Learning Algorithm Application under the Background of Big Data.

Browse Subjects

Show more subjects...

Statistics

from
to
Export