Smart Card Research and Advanced Applications

22nd International Conference, CARDIS 2023, Amsterdam, The Netherlands, November 14–16, 2023, Revised Selected Papers

AvShivam Bhasin,Thomas Roche

Häftad, Engelska, 2024

Del 14530 i serien Lecture Notes in Computer Science

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2024-02-23
Mått:155 x 235 x 16 mm
Vikt:446 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:278
Förlag:Springer International Publishing AG
ISBN:9783031544088

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Referensverk och tvärvetenskap inom Samhälle och politik
Hårdvara inom Data och IT

Innehållsförteckning

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.