Application of Neural Networks to Power Analysis

Engineering Proceedings

article

Alla Levina¹  Roman Bolozovskii¹ 

[1] Laboratory of Fundamentals of Intelligent Systems “LETI”, Saint Petersburg Electrotechnical University

关键词: cryptography;    AES;    side-channel attacks;    power analysis attack;    neural networks;   

DOI  :  10.3390/engproc2023033027

来源: mdpi

【 摘 要 】

The purpose of this work is to research the possibility of a side-channel attack, more precisely power consumption attack (recovering the encryption key according to the board’s power consumption schedule) on the AES-128 algorithm implemented in hardware. Basically, various methods can be used to make an attack, including SPA (Simple Power Consumption Attack) and DPA (Differential Power Consumption Attack). SPA methods involve a simple visual analysis of energy consumption graphs, while DPA involves the use of statistical methods to recover the encryption key. One way to make side-channel attacks more effective is to implement machine learning methods for the described purposes.

【 授权许可】

Unknown