Silicon Valley Cybersecurity Conference : Second Conference, SVCC 2021, San Jose, CA, USA, December 2–3, 2021, Revised Selected Papers / / edited by Sang-Yoon Chang, Luis Bathen, Fabio Di Troia, Thomas H. Austin, Alex J. Nelson

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
• Edizione: 1st ed. 2022.
• Descrizione fisica: 1 online resource (162 pages)
• Disciplina: 005.8
• Soggetto topico: Data protection; Computer engineering; Computer networks; Education - Data processing; Social sciences - Data processing; Machine learning; Data and Information Security; Computer Engineering and Networks; Computers and Education; Computer Application in Social and Behavioral Sciences; Machine Learning
• Persona (resp. second.): ChangSang-Yoon
• Nota di contenuto: Machine Learning for Security -- Encryption -- Miscellaneous Security.
• Sommario/riassunto: 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).
• Titolo autorizzato: Silicon valley cybersecurity conference
• ISBN: 3-030-96057-9
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910544875303321
• Lo trovi qui: Univ. Federico II
• Serie: Communications in Computer and Information Science, . 1865-0937 ; ; 1536