The electromagnetic leakage analysis based on arithmetic operation of FPGA

Sun, Shaofei; Du, Yulei

doi:10.1109/emc-b.2017.8260472

Cited by 4 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A novel two-stage countermeasure to prevent CEMA was shown in [16]. SVM was used to classify arithmetic operations by electromagnetic leakage in [17]. This way can be considered as a type of template analysis (TA).…”

Section: Related Workmentioning

confidence: 99%

Multibyte Electromagnetic Analysis Based on Particle Swarm Optimization Algorithm

et al. 2021

Self Cite

View full text Add to dashboard Cite

This paper focuses on electromagnetic information security in communication systems. Classical correlation electromagnetic analysis (CEMA) is known as a powerful way to recover the cryptographic algorithm’s key. In the classical method, only one byte of the key is used while the other bytes are considered as noise, which not only reduces the efficiency but also is a waste of information. In order to take full advantage of useful information, multiple bytes of the key are used. We transform the key into a multidimensional form, and each byte of the key is considered as a dimension. The problem of the right key searching is transformed into the problem of optimizing correlation coefficients of key candidates. The particle swarm optimization (PSO) algorithm is particularly more suited to solve the optimization problems with high dimension and complex structure. In this paper, we applied the PSO algorithm into CEMA to solve multidimensional problems, and we also add a mutation operator to the optimization algorithm to improve the result. Here, we have proposed a multibyte correlation electromagnetic analysis based on particle swarm optimization. We verified our method on a universal test board that is designed for research and development on hardware security. We implemented the Advanced Encryption Standard (AES) cryptographic algorithm on the test board. Experimental results have shown that our method outperforms the classical method; it achieves approximately 13.72% improvement for the corresponding case.

show abstract

Section: Related Workmentioning

confidence: 99%

Multibyte Electromagnetic Analysis Based on Particle Swarm Optimization Algorithm

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…Sensitive user information can be recovered from the acoustic side-channel of keyboard in [5]. Numerous types of side-channels have been successfully exploited to reveal secret information in previous years, such as time [6], power consumption [7], electromagnetic emission [8,9], optical signal [10] or acoustic emanation [11].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Electromagnetic Information Leakage Based on Cryptographic Integrated Circuits

Sun

Cui

et al. 2021

Entropy

Self Cite

View full text Add to dashboard Cite

Cryptographic algorithm is the most commonly used method of information security protection for many devices. The secret key of cryptographic algorithm is usually stored in these devices’ registers. In this paper, we propose an electromagnetic information leakage model to investigate the relationship between the electromagnetic leakage signal and the secret key. The registers are considered as electric dipole models to illustrate the source of the electromagnetic leakage. The equivalent circuit of the magnetic field probe is developed to bridge the output voltage and the electromagnetic leakage signal. Combining them, the electromagnetic information leakage model’s function relationship can be established. Besides, an electromagnetic leakage model based on multiple linear regression is proposed to recover the secret key and the model’s effectiveness is evaluated by guess entropy. Near field tests are conducted in an unshielded ordinary indoor environment to investigate the electromagnetic side-channel information leakage. The experiment result shows the correctness of the proposed electromagnetic leakage model and it can be used to recover the secret key of the cryptographic algorithm.

show abstract

“…In [15], the author used machine learning techniques to deal with high-dimensional feature vectors in side-channel analysis. SVM was used to classify arithmetic operations by electromagnetic leakage in [16]. In [17], the author found that convolutional neural networks were more suitable for side-channel analysis scenarios than some other machine-learning techniques without preprocessing.…”

Section: Introductionmentioning

confidence: 99%

A Novel Multi-Objective Electromagnetic Analysis Based on Genetic Algorithm

Sun

Liang

Cui

et al. 2019

Sensors

Self Cite

View full text Add to dashboard Cite

Correlation electromagnetic analysis (CEMA) is a method prevalent in side-channel analysis of cryptographic devices. Its success mostly depends on the quality of electromagnetic signals acquired from the devices. In the past, only one byte of the key was analyzed and other bytes were regarded as noise. Apparently, other bytes’ useful information was wasted, which may increase the difficulty of recovering the key. Multi-objective optimization is a good way to solve the problem of a single byte of the key. In this work, we applied multi-objective optimization to correlation electromagnetic analysis taking all bytes of the key into consideration. Combining the advantages of multi-objective optimization and genetic algorithm, we put forward a novel multi-objective electromagnetic analysis based on a genetic algorithm to take full advantage of information when recovering the key. Experiments with an Advanced Encryption Standard (AES) cryptographic algorithm on a Sakura-G board demonstrate the efficiency of our method in practice. The experimental results show that our method reduces the number of traces required in correlation electromagnetic analysis. It achieved approximately 42.72% improvement for the corresponding case compared with CEMA.

show abstract

The electromagnetic leakage analysis based on arithmetic operation of FPGA

Cited by 4 publications

References 0 publications

Multibyte Electromagnetic Analysis Based on Particle Swarm Optimization Algorithm

Multibyte Electromagnetic Analysis Based on Particle Swarm Optimization Algorithm

Analysis of Electromagnetic Information Leakage Based on Cryptographic Integrated Circuits

A Novel Multi-Objective Electromagnetic Analysis Based on Genetic Algorithm

Contact Info

Product

Resources

About