Foundations and Practice of Security: 16th International Symposium, FPS 2023, Bordeaux, France, December...

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Mohamed Mosbah Florence Sèdes

Foundations and Practice of Security

16th International Symposium, FPS 2023, Bordeaux, France, December 11–13, 2023, Revised Selected...

Mohamed Mosbah, Florence Sèdes, Nadia Tawbi , Toufik Ahmed

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English

Springer International Publishing AG
25 April 2024

Computer security; Network security

Series: Lecture Notes in Computer Science

This book constitutes the refereed proceedings of the 16th International Symposium on Foundations and Practice of Security, FPS 2023, held in Bordeaux, France, during December 11–13, 2023.

The 27 regular and 8 short papers presented in this book were carefully reviewed and selected from 80 submissions. The papers have been organized in the following topical sections:

Part I: AI and cybersecurity, security analysis, phishing and social network, vulnerabilities and exploits, network and system threat, malware analysis. Part II : security design, short papers.

Edited by: Mohamed Mosbah, Florence Sèdes, Nadia Tawbi, Toufik Ahmed, Nora Boulahia-Cuppens
Imprint: Springer International Publishing AG
Country of Publication: Switzerland
Edition: 2024 ed.
Volume: 14552
Dimensions: Height: 235mm, Width: 155mm,
ISBN: 9783031575396
ISBN 10: 3031575393
Series: Lecture Notes in Computer Science
Pages: 106
Publication Date: 25 April 2024
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Short Papers.- UCAT: the Uniform Categorization for Access Control.- Collectively Enhancing IoT Security: A Privacy-Aware Crowd-Sourcing Approach.- Comparative Analysis of Reduction Methods on Provenance Graphs for APT Attack Detection.- Evaluating Deep Learning for Cross-Domains Fake News Detection.- Accurify: Automated New Testflows Generation for Attack Variants in Threat Hunting.- Trade-off between Authentication Performance and Detection Time for Zero-effort Attack in Location-based Authentication.- SADIS: real-time sound-based anomaly detection for industrial systems.- A resilience Component for a Digital Twin.