A Novel Evaluation Metric for Deep Learning-Based Side Channel Analysis and Its Extended Application to Imbalanced Data

A Novel Evaluation Metric for Deep Learning-Based Side Channel Analysis and Its Extended Application to Imbalanced Data

Since Kocher (CRYPTO’96) proposed timing attack, side channel analysis (SCA) has shown great potential to break cryptosystems via physical leakage. Recently, deep learning techniques are widely used in SCA and show equivalent and even better performance compared to traditional methods. However, it...

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Bibliographic Details
Main Authors: Jiajia Zhang, Mengce Zheng, Jiehui Nan, Honggang Hu, Nenghai Yu
Format: Article
Language:English
Published: Ruhr-Universität Bochum 2020-06-01
Series:Transactions on Cryptographic Hardware and Embedded Systems
Subjects:
Side Channel Analysis
Deep Learning
Evaluation Metric
Imbalanced Data
Online Access:https://tches.iacr.org/index.php/TCHES/article/view/8583

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