Non‐profiled Deep‐Learning‐Based Power Analysis of the SM4 and DES Algorithms-Reference-Cited by-同舟云学术

Non‐profiled Deep‐Learning‐Based Power Analysis of the SM4 and DES Algorithms

Published:2021-05 Issue:3 Volume:30 Page:500-507
ISSN:1022-4653
Container-title:Chinese Journal of Electronics
language:en
Short-container-title:Chin. j. electron.

Author:

Xiangliang MA¹²,Bing LI²,Hong WANG²,Di WU³,Lizhen ZHANG²,Kezhen HUANG⁴⁵,Xiaoyi DUAN⁶

Affiliation:

1. School of Integrated CircuitsTsinghua UniversityBeijing100084China

2. National Research Center for Information Technology SecurityBeijing100084China

3. China Cybersecurity Review Technology and Certification CenterBeijing100020China

4. Trusted Computing and Information Assurance LaboratoryInstitute of Software, Chinese Academy of SciencesBeijing100190China

5. University of Chinese Academy of SciencesBeijing100049China

6. Department of Electronics and Information EngineeringBeijing Electronic Science and Technology InstituteBeijing100070China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Applied Mathematics,Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cje.2021.04.003

Reference13 articles.

1. P.CKocher J.JaffeandB.Jun “Differential power analysis” Proc. of 19th Annual International Cryptology Conference Santa Barbara California USA pp.388–397 1999.

2. X.LMa HWang BLi et al. “A power analysis method against backdoor instruction in chips” Acta Electronica Sinica Vol.47 No.3 pp.686–691 2019.

3. Reverse‐analysis of S‐box for GIFT‐like algorithms based on independent component analysis technology;Ma X.L;Journal of Computer Research and Development,2018

4. T.Benjamin “Non‐profiled deep learning‐based side‐channel attacks” https://eprint.iacr.org/2018/196 2018‐2‐18.

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