This book constitutes revised selected papers from the 13th International Workshop on Constructive Side-Channel Analysis and Secure Design, COSADE 2022, held in Leuven, Belgium, in April 2022. The 12 full papers presented in this volume were carefully reviewed and selected from 25 submissions. The papers cover the following subjects: implementation attacks, secure implementation, implementation attack-resilient architectures and schemes, secure design and evaluation, practical attacks, test platforms, and open benchmarks.
This book constitutes revised selected papers from the 13th International Workshop on Constructive Side-Channel Analysis and Secure Design, COSADE 2022, held in Leuven, Belgium, in April 2022.
The 12 full papers presented in this volume were carefully reviewed and selected from 25 submissions. The papers cover the following subjects: implementation attacks, secure implementation, implementation attack-resilient architectures and schemes, secure design and evaluation, practical attacks, test platforms, and open benchmarks.
Machine/Deep Learning.- Machine-Learning assisted Side-Channel Attacks on RNS ECC Implementations using Hybrid Feature Engineering.- Focus is Key to Success: A Focal Loss Function for Deep Learning-based Side-channel Analysis.-On the Evaluation of Deep Learning-based Side-channel Analysis.- Tools & References A Second Look at the ASCAD Databases.- FIPAC: Thwarting Fault- and Software-Induced Control-Flow Attacks with ARM Pointer Authentication.-Body Biasing Injection: To thin or not to thin the substrate?.- Attacks On the susceptibility of Texas Instruments SimpleLink platform microcontrollers to non-invasive physical attacks.- Single-trace clustering power analysis of the point-swapping procedure in the three point ladder of Cortex-M4 SIKE.- Canonical DPA attack on HMAC-SHA1/SHA2.- Masking Provable Secure Software Masking in the Real-World.- Systematic Study of Decryption and Re-Encryption Leakage: the Case of Kyber.- Handcrafting: Improving Automated Masking in Hardware with Manual Optimizations.
Machine/Deep Learning.- Machine-Learning assisted Side-Channel Attacks on RNS ECC Implementations using Hybrid Feature Engineering.- Focus is Key to Success: A Focal Loss Function for Deep Learning-based Side-channel Analysis.-On the Evaluation of Deep Learning-based Side-channel Analysis.- Tools & References A Second Look at the ASCAD Databases.- FIPAC: Thwarting Fault- and Software-Induced Control-Flow Attacks with ARM Pointer Authentication.-Body Biasing Injection: To thin or not to thin the substrate?.- Attacks On the susceptibility of Texas Instruments SimpleLink platform microcontrollers to non-invasive physical attacks.- Single-trace clustering power analysis of the point-swapping procedure in the three point ladder of Cortex-M4 SIKE.- Canonical DPA attack on HMAC-SHA1/SHA2.- Masking Provable Secure Software Masking in the Real-World.- Systematic Study of Decryption and Re-Encryption Leakage: the Case of Kyber.- Handcrafting: Improving Automated Masking in Hardware with Manual Optimizations.
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