Jan 6, 2023 · This paper proposes an innovative approach named deep learning-based fault analysis (DLFA) by incorporating deep learning techniques into fault analysis.
Dec 5, 2023 · Yukun Cheng, Changhai Ou, Fan Zhang, Shihui Zheng: DLPFA: Deep Learning based Persistent Fault Analysis against Block Ciphers. IACR Cryptol.
Jan 9, 2023 · This article undertakes the first study to introduce deep learning into fault analysis. We investigate the application of multi-layer perceptron ...
DLPFA: Deep Learning based Persistent Fault Analysis against Block Ciphers · Y. ChengChanghai OuFan ZhangShihui Zheng. Computer Science. IACR Cryptol. ePrint ...
DLPFA: Deep Learning based Persistent Fault Analysis against Block Ciphers. ... Persistent Fault Analysis on Lightweight Block Ciphers. IACR Trans ...
In this paper, APFA for double faults is proposed, which can deal with the double faults model and reduce the number of required ciphertexts.
Missing: DLPFA: Learning
The enhanced PFA (EPFA) is proposed, which can push the limit of PFA by exploiting the fault leakage in deeper rounds and target to reduce the number of ...
Jun 26, 2024 · DLPFA: Deep Learning based Persistent Fault Analysis against Block Ciphers ... Overview of Side Channel Cipher Analysis Based on Deep Learning.
[PDF] First and Efficient Countermeasure dedicated to Persistent Fault Attacks
hal.science › document
Abstract—Persistent fault analysis is a novel and efficient cryptanalysis method. The persistent fault attacks take advantage of a persistent fault injected ...
Algebraic Persistent Fault Analysis of SKINNY_64 Based on S_Box ...
pmc.ncbi.nlm.nih.gov › PMC9689041
Oct 22, 2022 · For the SKINNY block cipher, classical persistent fault analysis cannot recovery the master key. EPFA requires 1500–1600 fault ciphertexts to ...
Missing: Learning | Show results with:Learning