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Analysis of Electromagnetic Information Leakage Based on Cryptographic Integrated Circuits
Shaofei Sun1, Hongxin Zhang1, Xiaotong Cui1
1School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China.
This study introduces an electromagnetic leakage model to reveal the relationship between device electromagnetic signals and secret keys. The model successfully recovers cryptographic algorithm keys, demonstrating its effectiveness in information security.
Area of Science:
- Electrical Engineering
- Computer Science
- Information Security
Background:
- Cryptographic algorithms rely on secret keys stored in device registers for information security.
- Electromagnetic (EM) emanations from devices can inadvertently leak sensitive information, including secret keys.
Purpose of the Study:
- To propose and validate an electromagnetic information leakage model.
- To investigate the correlation between EM leakage signals and cryptographic secret keys.
- To develop a method for recovering secret keys using EM side-channel analysis.
Main Methods:
- Modeling registers as electric dipole sources of EM leakage.
- Developing an equivalent circuit for magnetic field probes to measure EM signals.
- Establishing a functional relationship for the EM information leakage model.
- Utilizing multiple linear regression for secret key recovery.
- Evaluating model effectiveness using guess entropy.
Main Results:
- The proposed EM leakage model accurately describes the relationship between EM signals and secret keys.
- Near-field tests in an indoor environment confirmed the model's validity.
- The developed model successfully recovered secret keys from cryptographic algorithms.
Conclusions:
- The proposed electromagnetic leakage model is effective for analyzing information leakage from cryptographic devices.
- This research validates the use of EM side-channel analysis for secret key recovery.
- The findings contribute to enhancing information security by understanding and mitigating EM leakage vulnerabilities.
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