Foundations and Practice of Security: 17th International Symposium, FPS 2024, Montréal, QC, Canada, December...

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Kamel Adi Simon Bourdeau

Foundations and Practice of Security

17th International Symposium, FPS 2024, Montréal, QC, Canada, December 9–11, 2024, Revised Selected...

Kamel Adi, Simon Bourdeau, Christel Durand , Valérie Viet Triem Tong

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English

Springer International Publishing AG
20 June 2025

Computer security; Network security

Series: Lecture Notes in Computer Science

This two-volume set constitutes the refereed proceedings of the 17th International Symposium on Foundations and Practice of Security, FPS 2024, held in Montréal, QC, Canada, during December 09–11, 2024.

The 28 full and 11 short papers presented in this book were carefully reviewed and selected from 75 submissions. The papers were organized in the following topical sections:

Part I: Critical issues of protecting systems against digital threats,considering financial, technological, and operational implications; Automating and enhancing security mechanisms in software systems and data management; Cybersecurity and AI when applied to emerging technologies; Cybersecurity and Ethics; Cybersecurity and privacy in connected and autonomous systems for IoT, smart environments, and critical infrastructure; New trends in advanced cryptographic protocols.

Part II: Preserving privacy and maintaining trust for end users in a complex and numeric cyberspace; Intersecting security, privacy, and machine learning techniques to detect, mitigate, and prevent threats; New trends of machine leaning and AI applied to cybersecurity.

Edited by: Kamel Adi, Simon Bourdeau, Christel Durand, Valérie Viet Triem Tong, Alina Dulipovici
Imprint: Springer International Publishing AG
Country of Publication: Switzerland
Volume: 15533
Dimensions: Height: 235mm, Width: 155mm,
ISBN: 9783031874956
ISBN 10: 3031874951
Series: Lecture Notes in Computer Science
Pages: 202
Publication Date: 20 June 2025
Audience: Professional and scholarly , College/higher education , Undergraduate , Further / Higher Education
Format: Paperback
Publisher's Status: Active

.- Preserving privacy and maintaining trust for end users in a complex and numeric cyberspace. .- Another Walk for Monchi. .- An Innovative DSSE Framework: Ensuring Data Privacy and Query Verification in Untrusted Cloud Environments. .- Privacy-Preserving Machine Learning Inference for Intrusion Detection. .- Priv-IoT: Privacy-preserving Machine Learning in IoT Utilizing TEE and Lightweight Ciphers. .- Intersecting security, privacy, and machine learning techniques to detect, mitigate, and prevent threats. .- LocalIntel: Generating Organizational Threat Intelligence from Global and Local Cyber Knowledge. .- Intelligent Green Efficiency for Intrusion Detection. .- A Privacy-Preserving Behavioral Authentication System. .- Automated Exploration of Optimal Neural Network Structures for Deepfake Detection. .- An Empirical Study of Black-box based Membership Inference Attacks on a Real-World Dataset. .- New trends of machine leaning and AI applied to cybersecurity. .- ModelForge: Using GenAI to Improve the Development of Security Protocols. .- Detecting Energy Attacks in the Battery-less Internet of Things . .- Is Expert-Labeled Data Worth the Cost? Exploring Active and Semi-Supervised Learning Across Imbalance Scenarios in Financial Crime Detection. .- ExploitabilityBirthMark: An Early Predictor of the Likelihood of Exploitation.