An Improved SM2 Digital Signature Algorithm with High-Precision Timestamps for Trusted Metrological Data

Area of Science:

• Computer Science
• Information Security
• Data Integrity

Background:

• Digitization of metering data enhances efficiency but faces risks from data tampering.
• Ensuring the trustworthiness and integrity of digital metering data is a significant challenge.

Purpose of the Study:

• To propose an improved SM2 digital signature algorithm for metering data.
• To enhance the reliability and security of metering data through high-precision time information.

Main Methods:

• Incorporating high-precision timestamps into SM2 signature generation and verification.
• Optimizing the SM2 algorithm structure, including modular inversion, to reduce computational costs.

Main Results:

• The improved algorithm significantly enhances signature generation efficiency.
• High-precision time information bolsters temporal validity and overall security.
• Effectively mitigates risks from random number dependency and replay attacks.

Conclusions:

• The enhanced SM2 algorithm provides a secure and efficient solution for trustworthy metering data verification.
• This approach strengthens the integrity of digitized metering data in the face of evolving cyber threats.