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Title:Smart Card Research and Advanced Applications [electronic resource] : 22nd International Conference, CARDIS 2023, Amsterdam, The Netherlands, November 14-16, 2023, Revised Selected Papers / edited by Shivam Bhasin, Thomas Roche.
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ISBN:9783031544095
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Edition:1st ed. 2024.
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Publication:Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
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Physical Description:1 online resource (X, 278 p.) 112 illus., 90 illus. in color.
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Links:Online book
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Local Notes:Access is available to the Yale community.
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Summary:This book constitutes the proceedings of the 22nd International Conference on Smart Card Research and Advanced Applications, CARDIS 2023, held in Amsterdam, The Netherlands, during November 14-16, 2023. The 13 full papers presented in this volume were carefully reviewed and selected from 28 submissions. They were organized in topical sections as follows: fault attacks; side-channel analysis; smartcards & efficient Implementations; and side-channel & neural networks.
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In_:Springer Nature eBook
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Variant and related titles:Springer ENIN.
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Other formats:Printed edition:
Printed edition:
- Format:Book
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Series:Lecture Notes in Computer Science, 14530
Lecture Notes in Computer Science, 14530
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Contents:Fault Attacks: Microarchitectural Insights into Unexplained Behaviors under Clock Glitch Fault Injection -- An in-depth security evaluation of the Nintendo DSi gaming console -- A Differential Fault Attack against Deterministic Falcon Signatures -- Fault Attacks Sensitivity of Public Parameters in the Dilithium Verification -- Side-Channel Analysis: Attacking at non-harmonic frequencies in screaming-channel attacks -- Bernoulli at the Root of Horizontal Side Channel Attacks -- Blind Side Channel Attack against AEAD with a Belief Propagation Approach -- Leveraging Coprocessors as Noise Engines in Off-the-Shelf Microcontrollers -- Smartcards & Efficient Implementations: The adoption rate of JavaCard features by certified products and open-source projects -- PQ.V.ALU.E: Post-Quantum RISC-V Custom ALU Extensions on Dilithium and Kyber -- Side-Channel & Neural Networks: Keep it unsupervised: Horizontal attacks meet simple classifiers -- Deep Stacking Ensemble Learning applied to Profiling Side-Channel Attacks -- Like an Open Book? Read Neural Network Architecture with Simple Power Analysis on 32-bit Microcontrollers.
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Subjects:Cryptography.
Data encryption (Computer science).
Computer networks .
Computer systems.
Coding theory.
Information theory.
Computer networks--Security measures.
Computer science--Mathematics.
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Also listed under:Bhasin, Shivam. editor.
Roche, Thomas. editor.
SpringerLink (Online service)
Link to this page: https://hdl.handle.net/10079/bibid/17009956