Titlebook: Security, Privacy, and Applied Cryptography Engineering; 8th International Co Anupam Chattopadhyay,Chester Rebeiro,Yuval Yarom Conference p

avulsion

Correlation Power Analysis on KASUMI: Attack and Countermeasure,ure for this attack which requires lesser resource footprint as compared to existing countermeasures, rendering such implementations practically feasible for resource-constrained applications, such as IoT and RFID devices.

火海

-MUL: Optimizing and Implementing a Multidimensional Scalar Multiplication Algorithm over Elliptic xploit our theoretical results, and propose an optimized variant of .-MUL. Our implementation results show that .-MUL can be very practical for small ., and it remains as an interesting algorithm to further explore for parallel implementation and cryptographic applications.

tic-douloureux

Template-Based Fault Injection Analysis of Block Ciphers,bserved fault behavior of an identical but black-box device with the pre-built templates to retrieve the secret key. We present a generic treatment of our template-based fault attack approach for SPN block ciphers, and illustrate the same with case studies on a Xilinx Spartan-6 FPGA-based implementation of AES-128.

充满人

Secure Realization of Lightweight Block Cipher: A Case Study Using GIFT, using correlation power analysis. We proposed various protected implementation profiles using Threshold Implementation (TI) and realization techniques carried out on the GIFT algorithm. We believe, the case study widens the choice of level-of-security with trade-off factors for secure realization of the cipher based on application requirement.

切割

EdSIDH: Supersingular Isogeny Diffie-Hellman Key Exchange on Edwards Curves,security benefits against side-channel attacks. We provide run time complexity analysis and operation counts for the proposed key exchange based on Edwards curves along with comparisons to the Montgomery form.

华而不实

On the Performance of Convolutional Neural Networks for Side-Channel Analysis,similarly or sometimes even better. The experiments with guessing entropy indicate that methods like Random Forest or XGBoost could perform better than Convolutional Neural Networks for the datasets we investigated.

自负的人

嫌恶

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Security, Privacy, and Applied Cryptography Engineering8th International Co

Dictation