Effective Deep Learning-based Side-Channel Analyses Against ASCAD-Reference-Cited by-同舟云学术

Effective Deep Learning-based Side-Channel Analyses Against ASCAD

Published:2021-10 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
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Author:

Liu Junkai¹,Zheng Shihui¹,Gu Lize¹

Affiliation:

1. Beijing University of Posts and Telecommunications,Beijing,China

Funder

National Science Foundation of China

National Key R & D Program of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9724288/9724267/09724397.pdf?arnumber=9724397

Reference20 articles.

1. Power analysis attack: an approach based on machine learning

2. Innovative method of the power analysis;martinasek;Radioengineering,2013

3. Breaking Cryptographic Implementations Using Deep Learning Techniques

4. Convolutional neural networks with data augmentation against jitter-based counter-measures;cagli;International Conference on Cryptographic Hardware and Embedded Systems,2017

5. Study of deep learning techniques for side-channel analysis and introduction to ascad database;benadjila;ANSSI France & CEA LETI MINATEC Campus France,2018

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1. LightSCA: Lightweight Side-Channel Attack via Discrete Cosine Transform and Residual Networks;2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys);2022-12