*Proceeding Paper* **Application of Neural Networks to Power Analysis †**

**Alla Levina and Roman Bolozovskii \***

Laboratory of Fundamentals of Intelligent Systems "LETI", Saint Petersburg Electrotechnical University, Professora Popova Str., 5, 197376 Saint-Petersburg, Russia

**\*** Correspondence: bolozovskii@gmail.com

† Presented at the 15th International Conference "Intelligent Systems" (INTELS'22), Moscow, Russia, 14–16 December 2022.

**Abstract:** 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.

**Keywords:** cryptography; AES; side-channel attacks; power analysis attack; neural networks
