N-order local area power model in side channel power analysis and application thereof

Abstract

The invention discloses an n-order local area power model in a side channel power analysis. The building steps of the model include: (1) collecting power traces, and building a sampling power consumption matrix; (2) confirming n-order local area power consumption according to the sampled power traces; and (3) selecting a local area window parameter T, obtaining n-order local area power consumption with a largest signal-noise ratio, namely n-order local area power, calculating n-order local area power on each time point of all the power traces, and accordingly obtaining a power consumption matrix W'(N*L) with a maximum signal-noise ratio. Based on the model, a correlation power analysis (CPA) or differential power analysis (DPA) principle is combined, and high-efficiency CPA or DPA analysis is conducted. Compared with the prior art, the model has the advantages that only the power traces with a small number are used, the side channel power analysis with a high success rate is conducted, and efficiency of the side channel power analysis is improved greatly.

Description

technical field [0001] The invention belongs to the technical field of cryptographic algorithm analysis and detection, and specifically relates to an n-order local energy model used in the process of cryptographic algorithm realization, side channel energy analysis, and cryptographic module detection, and CPA or DPA analysis using the model. Background technique [0002] With the development of information technology, various cryptographic algorithms are being widely used in economic, military, administrative and other important departments to protect the security of information. In view of the importance of cryptographic algorithms, the analysis and research of cryptographic algorithm software and hardware implementation (cryptographic modules) is of great significance to protect information security. In recent years, several attacks on cryptographic modules have become known, all of which aim to obtain the keys contained in the cryptographic modules. Common attack methods...

AI Technical Summary

Problems solved by technology

However, in the process of actually collecting energy consumption, due to the influence of factors such as sampling frequency, circuit characteristics, data operations in algorithm implementation, and algorithm structure, the amount of key information contained in a single point is small, and the information dissemination of sampling points. analysis method, there are problems such as low signal-to-noise ratio and low attack efficiency

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