Analysis of Electromagnetic Information Leakage Based on Cryptographic Integrated Circuits
Cryptographic algorithm is the most commonly used method of information security protection for many devices. The secret key of cryptographic algorithm is usually stored in these devices’ registers. In this paper, we propose an electromagnetic information leakage model to investigate the relationshi...
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2021
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oai:doaj.org-article:00afaa71d166447292a5db0760336b702021-11-25T17:30:22ZAnalysis of Electromagnetic Information Leakage Based on Cryptographic Integrated Circuits10.3390/e231115081099-4300https://doaj.org/article/00afaa71d166447292a5db0760336b702021-11-01T00:00:00Zhttps://www.mdpi.com/1099-4300/23/11/1508https://doaj.org/toc/1099-4300Cryptographic algorithm is the most commonly used method of information security protection for many devices. The secret key of cryptographic algorithm is usually stored in these devices’ registers. In this paper, we propose an electromagnetic information leakage model to investigate the relationship between the electromagnetic leakage signal and the secret key. The registers are considered as electric dipole models to illustrate the source of the electromagnetic leakage. The equivalent circuit of the magnetic field probe is developed to bridge the output voltage and the electromagnetic leakage signal. Combining them, the electromagnetic information leakage model’s function relationship can be established. Besides, an electromagnetic leakage model based on multiple linear regression is proposed to recover the secret key and the model’s effectiveness is evaluated by guess entropy. Near field tests are conducted in an unshielded ordinary indoor environment to investigate the electromagnetic side-channel information leakage. The experiment result shows the correctness of the proposed electromagnetic leakage model and it can be used to recover the secret key of the cryptographic algorithm.Shaofei SunHongxin ZhangXiaotong CuiQiang LiLiang DongXing FangMDPI AGarticleelectromagnetic leakageintegrated circuitsmultiple linear regressionguess entropyelectromagnetic side-channel analysisScienceQAstrophysicsQB460-466PhysicsQC1-999ENEntropy, Vol 23, Iss 1508, p 1508 (2021) |
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electromagnetic leakage integrated circuits multiple linear regression guess entropy electromagnetic side-channel analysis Science Q Astrophysics QB460-466 Physics QC1-999 |
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electromagnetic leakage integrated circuits multiple linear regression guess entropy electromagnetic side-channel analysis Science Q Astrophysics QB460-466 Physics QC1-999 Shaofei Sun Hongxin Zhang Xiaotong Cui Qiang Li Liang Dong Xing Fang Analysis of Electromagnetic Information Leakage Based on Cryptographic Integrated Circuits |
description |
Cryptographic algorithm is the most commonly used method of information security protection for many devices. The secret key of cryptographic algorithm is usually stored in these devices’ registers. In this paper, we propose an electromagnetic information leakage model to investigate the relationship between the electromagnetic leakage signal and the secret key. The registers are considered as electric dipole models to illustrate the source of the electromagnetic leakage. The equivalent circuit of the magnetic field probe is developed to bridge the output voltage and the electromagnetic leakage signal. Combining them, the electromagnetic information leakage model’s function relationship can be established. Besides, an electromagnetic leakage model based on multiple linear regression is proposed to recover the secret key and the model’s effectiveness is evaluated by guess entropy. Near field tests are conducted in an unshielded ordinary indoor environment to investigate the electromagnetic side-channel information leakage. The experiment result shows the correctness of the proposed electromagnetic leakage model and it can be used to recover the secret key of the cryptographic algorithm. |
format |
article |
author |
Shaofei Sun Hongxin Zhang Xiaotong Cui Qiang Li Liang Dong Xing Fang |
author_facet |
Shaofei Sun Hongxin Zhang Xiaotong Cui Qiang Li Liang Dong Xing Fang |
author_sort |
Shaofei Sun |
title |
Analysis of Electromagnetic Information Leakage Based on Cryptographic Integrated Circuits |
title_short |
Analysis of Electromagnetic Information Leakage Based on Cryptographic Integrated Circuits |
title_full |
Analysis of Electromagnetic Information Leakage Based on Cryptographic Integrated Circuits |
title_fullStr |
Analysis of Electromagnetic Information Leakage Based on Cryptographic Integrated Circuits |
title_full_unstemmed |
Analysis of Electromagnetic Information Leakage Based on Cryptographic Integrated Circuits |
title_sort |
analysis of electromagnetic information leakage based on cryptographic integrated circuits |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/00afaa71d166447292a5db0760336b70 |
work_keys_str_mv |
AT shaofeisun analysisofelectromagneticinformationleakagebasedoncryptographicintegratedcircuits AT hongxinzhang analysisofelectromagneticinformationleakagebasedoncryptographicintegratedcircuits AT xiaotongcui analysisofelectromagneticinformationleakagebasedoncryptographicintegratedcircuits AT qiangli analysisofelectromagneticinformationleakagebasedoncryptographicintegratedcircuits AT liangdong analysisofelectromagneticinformationleakagebasedoncryptographicintegratedcircuits AT xingfang analysisofelectromagneticinformationleakagebasedoncryptographicintegratedcircuits |
_version_ |
1718412264998961152 |