
Silicon Valley Cybersecurity Conference
Second Conference, SVCC 2021, San Jose, CA, USA, December 2-3, 2021, Revised Selected Papers
Springer (Publisher)
Published on 10. February 2022
Book
Paperback/Softback
XII, 155 pages
978-3-030-96056-8 (ISBN)
Description
This book constitutes selected and revised papers from the Second Silicon Valley Cybersecurity Conference, held in San Jose, USA, in December 2021. Due to the COVID-19 pandemic the conference was held in a virtual format.
The 9 full papers and one shoprt paper presented in this volume were thoroughly reviewed and selected from 15 submissions. They present most recent research on dependability, reliability, and security to address cyber-attacks, vulnerabilities, faults, and errors in networks and systems.
Chapters 1, 4, 5, 6, and 8-10 are published open access under a CC BY license (Creative Commons Attribution 4.0 International License).
The 9 full papers and one shoprt paper presented in this volume were thoroughly reviewed and selected from 15 submissions. They present most recent research on dependability, reliability, and security to address cyber-attacks, vulnerabilities, faults, and errors in networks and systems.
Chapters 1, 4, 5, 6, and 8-10 are published open access under a CC BY license (Creative Commons Attribution 4.0 International License).
More details
Series
Edition
1st ed. 2022
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
19 farbige Abbildungen, 12 s/w Abbildungen
XII, 155 p. 31 illus., 19 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 10 mm
Weight
265 gr
ISBN-13
978-3-030-96056-8 (9783030960568)
DOI
10.1007/978-3-030-96057-5
Schweitzer Classification
Other editions
Additional editions

Sang-Yoon Chang | Luis Bathen | Fabio Di Troia
Silicon Valley Cybersecurity Conference
Second Conference, SVCC 2021, San Jose, CA, USA, December 2-3, 2021, Revised Selected Papers
E-Book
02/2022
Springer
€21.39
Available for download
Content
Machine Learning for Security.- Encryption.- Miscellaneous Security.