Silicon Valley Cybersecurity Conference〈1st ed. 2022〉 : Second Conference, SVCC 2021, San Jose, CA, USA, December 2–3, 2021, Revised Selected Papers

著者名：Chang, Sang-Yoon (EDT)/Bathen, Luis (EDT)/Di Troia, Fabio (EDT)/Austin, Thomas H. (EDT)/Nelson, Alex J. (EDT)

Springer（2022/02/09発売）

• 言語：ENG
• ISBN：9783030960568
• eISBN：9783030960575

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).

Table of Contents

Machine Learning for Security.- Encryption.- Miscellaneous Security.