GM/T 0083-2020 in English

VALID

Price(USD)： $310.00
$301.00

Standard No:	GM/T 0083-2020
Document status:	VALID
Title in English:	Guideline for the mitigation of non-invasive attacks against cryptographic modules
Title in Chinese:	密码模块非入侵式攻击缓解技术指南
Language:	English
File Format:	Electronic (PDF)
Delivery:	Via email within 5 business days
Issued on:	2020-12-28
Implemented on:	2021-07-01
ICS Classification:	35.040-Character sets and information coding
Chinese Classification:	L80-Data encryption
Related Topics:	password ease invade analysis attack attack Intrusive and Non-Intrusive Measurements non-invasive diagnostics Intrusive Module English analysis module non-invasive measurement technique proxy attack non-intrusive technology Southern Pattern Technology single mode digestion technique hit module GM/T 38636-2020 Weighing module technology

本文件给出了密码模块非入侵式攻击方法、缓解技术以及测试方法。?
本文件适用于指导密码模块中部署非入侵式攻击缓解技术，指导技术人员在密码模块开发和使用过程中，根据具体的密码算法特点、密码模块特性、具体部署的实际场景，选择缓解技术来抵抗非入侵式攻击威胁。

Introduction

Analysis of the core content of the standard

Attack Types	Typical Methods	Safety Function Association
Timing Analysis	Instruction Execution Time Difference Measurement	GB/T 37092 Appendix C
Energy Analysis	DPA/SPA	SM4/SM3 Algorithm Implementation
Electromagnetic Analysis	DEMA/SEMA	FPGA/ASIC Hardware Protection

Protection against elliptic curve scalar multiplication:

Virtual point balancing technology: Eliminate key bit differences by fixing the doubling point and point addition operation sequence
Blind private key: Introduce a random number r to make k'=k+r·n, and randomize the intermediate value
Blind base point: Calculate Q=k(P+R)-kR, where R is a random point

Dynamic mask reconstruction process:

Phase	Detection Index	Pass Threshold
Signal Acquisition	SNR≥20dB	Probe Spacing≤1mm
Statistical Analysis	Welch t-test	p-value＞0.05

The new generation of protection technology presents three major characteristics:

Hybrid defense: Combining masking and hiding technologies (such as SM4+ dual-track logic)
Adaptive protection: Dynamically adjust the protection strength according to the attack threat
AI detection: Use machine learning to identify abnormal side channel patterns

More samples: GB 50021-2001(2009) DL/T 368-2010 NB/T 47013.2-2015

Sample only — not a preview of GM/T 0083-2020