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Silicon Valley Cybersecurity Conference: First Conference, SVCC 2020, San Jose, CA, USA, December 17–19, 2020, Revised Selected Papers de Younghee Park

Silicon Valley Cybersecurity Conference: First Conference, SVCC 2020, San Jose, CA, USA, December 17–19, 2020, Revised Selected Papers: Communications in Computer and Information Science, cartea 1383

Editat de Younghee Park, Divyesh Jadav, Thomas Austin
en Limba Engleză Paperback – 2 apr 2021
This book constitutes selected and revised papers from the First Silicon Valley Cybersecurity Conference, held in San Jose, USA, in December 2020. Due to the COVID-19 pandemic the conference was held in a virtual format. 

The 9 full papers and 6 short papers presented in this volume were thoroughly reviewed and selected from 30 submissions. They present most recent research on dependability, reliability, and security to address cyber-attacks, vulnerabilities,faults, and errors in networks and systems.
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Specificații

ISBN-13: 9783030727246
ISBN-10: 3030727246
Pagini: 227
Ilustrații: X, 227 p. 89 illus., 62 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.34 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria Communications in Computer and Information Science

Locul publicării:Cham, Switzerland

Cuprins

Dynamic Security Analysis of Zoom, Google Meet and Microsoft Teams.- A Secure Encapsulation Schemes based on Key Recovery System.- Path Authentication Protocol: Based on a Lightweight MAC and a Nonlinear Filter Generator.- STRISA: A New Regulation Architecture to Enforce Travel Rule.- Post-Quantum Hash-Based Signatures for Secure Boot.- Exploring the Coverage of Existing Hardware Vulnerabilities in Community Standards.- MurQRI: Encrypted Multi-Layer QR Codes for Electronic Identity Management.- SpartanGold: A Blockchain for Education, Experimentation, and Rapid Prototyping.- BIOT: A blockchain-based IoT Platform for Distributed Energy Resource Management.- A Privacy Preserving E-voting System based on Blockchain.- Reconstructing Classification to Enhance Machine-Learning Based Network Intrusion Detection by Embracing Ambiguity.- ConTheModel: Can we modify tweets to confuse classifier models?.-  A Systematic Approach to Building Autoencoders for Intrusion Detection.- An Attack on Quantum Circuits Based on the Error Rates of NISQ Systems and a Countermeasure.- Cryptocurrency with Multiple Sequence Alignment Proof-of-Work.- IoT Checker Using Timing Side-channel and Machine Learning.