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Side channel signal feature extraction method based on EMD and singular value difference spectrum

A technology of signal features and extraction methods, which is applied in the field of signal processing and can solve the problems of low signal-to-noise ratio and low attack success rate.

Inactive Publication Date: 2017-02-22
成都芯安尤里卡信息科技有限公司
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Problems solved by technology

[0007] The purpose of the present invention is to provide a side channel signal feature extraction method based on EMD and singular value difference spectrum to solve the problems of low signal-to-noise ratio and low attack success rate

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  • Side channel signal feature extraction method based on EMD and singular value difference spectrum
  • Side channel signal feature extraction method based on EMD and singular value difference spectrum
  • Side channel signal feature extraction method based on EMD and singular value difference spectrum

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Embodiment Construction

[0040] Specific embodiments of the present invention are described below so that those skilled in the art can understand the present invention, but it should be clear that the present invention is not limited to the scope of specific embodiments. For those of ordinary skill in the art, as long as various changes are within Within the spirit and scope of the present invention defined and determined by the appended claims, these transformations are obvious, and all inventions and creations using the concept of the present invention are included in the protection list.

[0041] S1: Randomly select M groups of plaintext (ciphertext), perform encryption (decryption) operations through cryptographic equipment, collect M energy curves of cryptographic equipment, and each energy curve has N sampling points to form a matrix E M*N .

[0042] S2: Use the EMD method to decompose each collected energy curve 4 times to obtain 4 IMF components with frequencies ranging from high to low, and c...

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Abstract

The invention discloses a side channel signal feature extraction method based on EMD and singular value difference spectrum. The method comprises the following steps: S1) collecting side channel signals and carrying out EMD processing on the side channel signals to obtain a finite number of intrinsic mode function (IMF) components, observing features of each component, carrying out cross correlation on each component and an original signal and selecting the component having the maximum similar feature with the original signal; and S2) carrying out noise elimination and reconstruction on the selected component through singular value difference spectrum to extract useful signals of different components and capable of representing original time series. The method carries out preprocessing on the side channel signals through combination of the EMD and the singular value difference spectrum, and can improve signal-to-noise ratio of energy leakage signals and success rate of attack.

Description

technical field [0001] The invention relates to the field of signal processing, in particular to a method for feature extraction of side channel signals. Background technique [0002] Side Channel Attack (SCA) is an attack method to obtain keys by targeting side channel information such as execution time, power consumption or electromagnetic radiation leaked in software and hardware implementations of cryptographic devices. There are many kinds of SCA methods, common fault attack, timing attack, energy attack and so on. Among them, energy attack has been highly valued as an effective attack method. However, in most cases, since the side channel signal is easily overwhelmed by noise, useful information cannot be extracted, and the attack success rate is low, so signal processing technology is required for auxiliary processing. [0003] At present, the processing technology of the side channel signal is relatively simple, commonly used are low pass, moving average, Fourier t...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06F2218/08
Inventor 饶金涛吴震王敏杜之波姚艳丽凌杭
Owner 成都芯安尤里卡信息科技有限公司
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