Constructive Approaches for Security Analysis and Design of Embedded Systems | First International Conference, CASCADE 2025, Saint-Etienne, France, April 2-4, 2025, Proceedings

Matthieu Rivain (u. a.)

ISBN 10: 3032014042 / ISBN 13: 9783032014047

Published by Springer, 2025

About this Item

Constructive Approaches for Security Analysis and Design of Embedded Systems | First International Conference, CASCADE 2025, Saint-Etienne, France, April 2-4, 2025, Proceedings | Matthieu Rivain (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xi | Englisch | 2025 | Springer | EAN 9783032014047 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 134158512

Bibliographic Details

• Title: Constructive Approaches for Security Analysis and Design of Embedded Systems | First International Conference, CASCADE 2025, Saint-Etienne, France, April 2-4, 2025, Proceedings
• Publisher: Springer
• Publication Date: 2025
• Language: English
• ISBN 10: 3032014042
• ISBN 13: 9783032014047
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 33D millimeters 235 millimeters width by 155 millimeters height by 33 millimeters depth
• Weight: 920 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

This book constitutes the refereed proceedings of the First International Conference on Constructive Approaches for Security Analysis and Design of Embedded Systems, CASCADE 2025, held in Saint-Etienne, France, during April 2–4, 2025.
The 24 full papers included in this book were carefully reviewed and selected from 51 submissions. They are organized in topical sections as follows: Attacks on Symmetric Cryptography; Side-Channel Attacks;  Physical Security; RISC-V; Machine Learning; Attacks on Post-Quantum Cryptography; Securing Post-Quantum Cryptography; Homomorphic Encryption and White-Box Cryptography; Attacks on Symmetric Cryptography; Side-Channel Attacks; Physical Security; RISC-V; and Machine Learning.