Large number modular exponentiation inversion power consumption detection method and system for sm2 signature

Abstract

The invention discloses an SM2 signature used large-number modular exponentiation inversion power dissipation measurement method and a system thereof. The system comprises a key detection module, an information classification module, a template processing module, a matching calculation module and an off-line key recovery module, wherein the key detection module conducts SM2 signature and obtains Hamming weight information of key intermediate values, then outputs the Hamming weight information to the information classification module; the information classification module classifies power curves according to the Hamming weight information of the intermediate values, and outputs the classification information to the template processing module; and the template processing module conducts modeling according to the classification information and inputs template information to the matching calculation module, the matching calculation module matches the template information with a to-be-detected SM2 signature and outputs the matching result to the off-line key recovery module, and the off-line key recovery module conducts off-line calculation and obtains the key information of the to-be-detected SM2 signature. The SM2 signature used large-number modular exponentiation inversion power dissipation measurement method and the system thereof are reasonable in design, power dissipation curve detection is conducted aiming at the inversion vulnerability of the SM2 signature, and a new direction for the protection of the SM2 signature is provided.

Description

technical field [0001] The invention relates to a technology in the field of computer security, in particular to a large number modular power inversion power consumption detection method and a system thereof for SM2 signatures. Background technique [0002] In reality, cryptographic systems are usually implemented by hardware or software in the form of hardware, such as smart cards, RFID, cryptographic coprocessors, SoC cryptographic chips, and cryptographic machines. In the implementation environment of these cryptographic systems, attackers can observe and measure information such as energy consumption and electromagnetic radiation of cryptographic transformations. Using these additional information may achieve more effective cryptographic deciphering than traditional mathematical analysis. Attacks in this environment are often referred to as "side channel attacks" (Side Channel Attack). Side-channel attacks typically include Simple Power Analysis (SPA) and Differential P...

AI Technical Summary

Problems solved by technology

However, the analysis object of this technology lies in the generation process of the fourth value, and its applicability is narrow. When the protective measures are applied, the fourth value may have changed

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