Deep Learning Power Analysis for Midori128 with Hiding Countermeasure

Author:

Takemoto Shu1,Miwa Shunsuke1,Ikezaki Yoshiya1,Nozaki Yusuke2,Yoshikawa Masaya2

Affiliation:

1. Meijo University,Graduate School of Science and Technology,Nagoya,Japan

2. Meijo University,Dept. of Information Engineering,Nagoya,Japan

Funder

JSPS

Publisher

IEEE

Reference10 articles.

1. Nonlinear Invariant Attack: Practical Attack on Full SCREAM, iSCREAM, and Midori64

2. Midori: A Block Cipher for Low Energy

3. Deep Residual Learning for Image Recognition

4. WDDL based Countermeasure of Midori and its Implementation Evaluation;miwa;Proc of NCSP'22,2022

5. Power Analysis Attack Method and Low Energy Secure Implementation for MidoriI28;takemoto;IPSJ Journal,2022

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2. Tamper Resistance Evaluation of Midori128 against Differential Power Analysis;2023 IEEE 6th International Conference on Knowledge Innovation and Invention (ICKII);2023-08-11

3. Deep Learning Based Side-Channel Analysis for Lightweight Cipher PRESENT;2023 15th International Conference on Computer and Automation Engineering (ICCAE);2023-03-03

4. Machine Learning Based Power Analysis for Simon with Secure Mechanism;2023 15th International Conference on Computer and Automation Engineering (ICCAE);2023-03-03

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