Silicon Valley Cybersecurity Conference

First Conference, SVCC 2020, San Jose, CA, USA, December 17–19, 2020, Revised Selected Papers

AvYounghee Park,Divyesh Jadav

Häftad, Engelska, 2021

Del i serien Communications in Computer and Information Science

550 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Beskrivning

This book constitutes selected and revised papers from the First Silicon Valley Cybersecurity Conference, held in San Jose, USA, in December 2020. The 9 full papers and 6 short papers presented in this volume were thoroughly reviewed and selected from 30 submissions.

Produktinformation

Utgivningsdatum:2021-04-02
Mått:155 x 235 x 14 mm
Vikt:371 g
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:227
Förlag:Springer Nature Switzerland AG
ISBN:9783030727246

Utforska kategorier

Innehållsförteckning

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.