A Novel Multi-Objective Electromagnetic Analysis Based on Genetic Algorithm

Sun, Shaofei; Liang, Dong; Cui, Xiaotong; Cheng, Weijun; Khan, Muhammad Saad

doi:10.3390/s19245542

Cited by 5 publications

(6 citation statements)

References 23 publications

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“…Simple electromagnetic analysis (SEMA) and DEMA were used to attack DES in a manner to extract information from electromagnetic radiation [18,19]. A multi-objective electromagnetic analysis based on genetic algorithm to recover the AES encryption algorithm' secret key was proposed in [20]. Non-invasive electromagnetic analysis can be mainly divided into four categories: SEMA, DMEA, CEMA, and TA.…”

Section: Related Workmentioning

confidence: 99%

Multibyte Electromagnetic Analysis Based on Particle Swarm Optimization Algorithm

et al. 2021

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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.

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Section: Related Workmentioning

confidence: 99%

Multibyte Electromagnetic Analysis Based on Particle Swarm Optimization Algorithm

et al. 2021

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“…It demonstrates strong self‐organisation and adaptive ability, strong robustness, simple basic logic, parallel computing, and is easy to realise. It is widely used in the fields of automatic control, pattern recognition, engineering design, and intelligent fault diagnosis to solve complex non‐linear and multidimensional optimisation problems [23, 24]. The basic implementation process of the GA in Ref.…”

Section: The Principle Of Orthogonal Coding Optimisation Based On Gen...mentioning

confidence: 99%

“…Many intelligent algorithms have been improved to have strong global search ability and strong applicability [23] and can adjust the objective function (or the cost function) according to the characteristics of the waveform design principle to find the optimal waveform. GA has the advantages of global search and strong applicability, which is suitable for the search of better codes but the algorithm is prone to the appearance of 'super individuals' and falling into the local optimum trap [24]. With an increase in code length, the operation speed slows down.…”

Section: Introductionmentioning

confidence: 99%

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Optimal design of anti‐interrupted sampling repeater jamming waveform for missile‐borne radar based on an improved genetic algorithm

Cao

Chen

Feng

et al. 2021

IET Signal Processing

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The optimal design of transmitted waveforms to improve the performance of missileborne radar in suppressing interrupted sampling repeater jamming (ISRJ) is studied here. The waveform diversity property requires that the waveform group has excellent orthogonality (good auto-and cross-correlation properties), which is an effective waveform optimisation design method for missile-borne radar electronic countercountermeasures. The principle of orthogonal phase coding waveform against ISRJ is studied and the use of chaotic sequences is proposed to initialise the population, as well as a simulated annealing selection operator, which improves the convergence speed of the improved genetic algorithm (IGA) and enhances the global optimisation ability. The IGA improves the shortcomings of GA, that is, easily falling into a local optimum and slow search speed, and can realise a global search for longer orthogonal polyphase coding sequence sets. The simulation examples demonstrate the good jamming suppression performance of the proposed method.This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

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“…The system combines an electromagnetic leakage scanning platform and analysis methods into a single system, which can carry out all steps automatically. Most of the previous publications mainly focus on the key recovery of cryptographic algorithms, including our previous works [22,23]. As far as we know, there are seldom works on the electromagnetic leakage model of cryptographic integrated circuits to reveal the relationship between the electromagnetic leakage signal and the cryptographic algorithm.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Electromagnetic Information Leakage Based on Cryptographic Integrated Circuits

Sun

Cui

et al. 2021

Entropy

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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.

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A Novel Multi-Objective Electromagnetic Analysis Based on Genetic Algorithm

Cited by 5 publications

References 23 publications

Multibyte Electromagnetic Analysis Based on Particle Swarm Optimization Algorithm

Multibyte Electromagnetic Analysis Based on Particle Swarm Optimization Algorithm

Optimal design of anti‐interrupted sampling repeater jamming waveform for missile‐borne radar based on an improved genetic algorithm

Analysis of Electromagnetic Information Leakage Based on Cryptographic Integrated Circuits

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