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@article{ART002807641},
author={Ki-Hawn Kim and HyunHo Kim and Lee, HoonJae},
title={Improved real-time power analysis attack using CPA and CNN},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2022},
volume={27},
number={1},
pages={43-50},
doi={10.9708/jksci.2022.27.01.043}

TY - JOUR
AU - Ki-Hawn Kim
AU - HyunHo Kim
AU - Lee, HoonJae
TI - Improved real-time power analysis attack using CPA and CNN
JO - Journal of The Korea Society of Computer and Information
PY - 2022
VL - 27
IS - 1
PB - The Korean Society Of Computer And Information
SP - 43
EP - 50
SN - 1598-849X
AB - Correlation Power Analysis(CPA) is a sub-channel attack method that measures the detailed power consumption of attack target equipment equipped with cryptographic algorithms and guesses the secret key used in cryptographic algorithms with more than 90% probability. Since CPA performs analysis based on statistics, a large amount of data is necessarily required. Therefore, the CPA must measure power consumption for at least about 15 minutes for each attack. In this paper proposes a method of using a Convolutional Neural Network(CNN) capable of accumulating input data and predicting results to solve the data collection problem of CPA. By collecting and learning the power consumption of the target equipment in advance, entering any power consumption can immediately estimate the secret key, improving the computational speed and 96.7% of the secret key estimation accuracy.
KW - Side Channel Attack;AES;CPA;CNN;ATmega328;Oscilloscope
DO - 10.9708/jksci.2022.27.01.043
ER -

Ki-Hawn Kim, HyunHo Kim and Lee, HoonJae. (2022). Improved real-time power analysis attack using CPA and CNN. Journal of The Korea Society of Computer and Information, 27(1), 43-50.

Ki-Hawn Kim, HyunHo Kim and Lee, HoonJae. 2022, "Improved real-time power analysis attack using CPA and CNN", Journal of The Korea Society of Computer and Information, vol.27, no.1 pp.43-50. Available from: doi:10.9708/jksci.2022.27.01.043

Ki-Hawn Kim, HyunHo Kim, Lee, HoonJae "Improved real-time power analysis attack using CPA and CNN" Journal of The Korea Society of Computer and Information 27.1 pp.43-50 (2022) : 43.

Ki-Hawn Kim, HyunHo Kim, Lee, HoonJae. Improved real-time power analysis attack using CPA and CNN. 2022; 27(1), 43-50. Available from: doi:10.9708/jksci.2022.27.01.043

Ki-Hawn Kim, HyunHo Kim and Lee, HoonJae. "Improved real-time power analysis attack using CPA and CNN" Journal of The Korea Society of Computer and Information 27, no.1 (2022) : 43-50.doi: 10.9708/jksci.2022.27.01.043

Ki-Hawn Kim; HyunHo Kim; Lee, HoonJae. Improved real-time power analysis attack using CPA and CNN. Journal of The Korea Society of Computer and Information, 27(1), 43-50. doi: 10.9708/jksci.2022.27.01.043

Ki-Hawn Kim; HyunHo Kim; Lee, HoonJae. Improved real-time power analysis attack using CPA and CNN. Journal of The Korea Society of Computer and Information. 2022; 27(1) 43-50. doi: 10.9708/jksci.2022.27.01.043

Ki-Hawn Kim, HyunHo Kim, Lee, HoonJae. Improved real-time power analysis attack using CPA and CNN. 2022; 27(1), 43-50. Available from: doi:10.9708/jksci.2022.27.01.043

Ki-Hawn Kim, HyunHo Kim and Lee, HoonJae. "Improved real-time power analysis attack using CPA and CNN" Journal of The Korea Society of Computer and Information 27, no.1 (2022) : 43-50.doi: 10.9708/jksci.2022.27.01.043