Emerging Information Security and Applications

Second International Symposium, EISA 2021, Copenhagen, Denmark, November 12-13, 2021, Revised Selected Papers

AvWeizhi Meng,Sokratis K. Katsikas

Häftad, Engelska, 2022

Del 1403 i serien Communications in Computer and Information Science

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Beskrivning

This volume constitutes selected papers presented at the Second International Symposium on Emerging Information Security and Applications, EISA 2021, held in Copenhagen, Denmark, in November 2021.*The 10 full papers and 1 short paper presented in this volume were thoroughly reviewed and selected from the 36 submissions. They present a discussion on the emerging techniques, theories and applications to enhance information and application security in practice. *Due to the COVID-19 pandemic the conference was held online.

Produktinformation

Utgivningsdatum:2022-01-13
Mått:155 x 235 x 12 mm
Vikt:330 g
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:199
Förlag:Springer Nature Switzerland AG
ISBN:9783030939557

Utforska kategorier

Referensverk och tvärvetenskap inom Samhälle och politik
Nätverk och kommunikation inom Data och IT
IT-säkerhet inom Data och IT

Innehållsförteckning

Practical and Provable Secure Vehicular Component Protection Scheme.- NEEX: An Automated and Efficient Tool for Detecting Browser Extension Fingerprint.- APHC: Auditable and Privacy Preserving Health QR Code based on Blockchain.- AMLChain: A privacy-preserving distributed ledger supporting anti-money laundering and auditing.- Granularity and Usability in Authorization Policies.- A Two-Fold Study to Investigate Users' Perception of IoT Information Sensitivity Levels and Their Willingness to Share the Information.- SoK: A Systematic Literature Review of Bluetooth Security Threats and Mitigation Measures.- JSLIM: Reducing the Known Vulnerabilities of JavaScript Application by Debloating.- Digital Twin Monitoring for Cyber-Physical Access Control.- Improving Host-based Intrusion Detection Using Thread Information.- Database Intrusion Detection Systems (DIDs): Insider Threat Detection via Behavioural-based Anomaly Detection Systems - A Brief Survey of Concepts and Approaches.