Silicon Valley Cybersecurity Conference (eBook, PDF)

First Conference, SVCC 2020, San Jose, CA, USA, December 17-19, 2020, Revised Selected Papers
Redaktion: Park, Younghee; Austin, Thomas; Jadav, Divyesh

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 227
• Erscheinungstermin: 1. April 2021
• Englisch
• ISBN-13: 9783030727253
• Artikelnr.: 62288126

Inhaltsangabe

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.