Open Access

Tetiana Korobeinikova, Ihor Zhuravel, Lesya Mychuda, Axel Sikora

• The paper discusses the process of block parallelization in the Advanced Encryption Standard (AES) cipher, focusing on the Counter (CTR) mode. It details the benefits of this process, including increased data processing performance and effective resource utilization; emphasizes the independent encryption of each data block in CTR mode, which allows for effective parallelization, especially whenThe paper discusses the process of block parallelization in the Advanced Encryption Standard (AES) cipher, focusing on the Counter (CTR) mode. It details the benefits of this process, including increased data processing performance and effective resource utilization; emphasizes the independent encryption of each data block in CTR mode, which allows for effective parallelization, especially when handling large data volumes. This work outlines the steps involved in the AES operation scheme in CTR mode, from splitting data into blocks to generating the final ciphertext. It further explains the concept of a unique "counter"or "initialization vector"for each block, which, combined with the key, generates a unique encryption key, enabling parallel processing. The idea implementation delves into the programming of the block parallelization algorithm using services on the Java Spring Boot platform. It describes the roles of the purposed Client Service and Server Service in encrypting and transmitting messages and files and decrypting received messages. This work presents an experiment that tests the hypothesis that blocks parallelization in AES cipher using CTR mode increases performance during the processing of large data volumes. The experiment involves different data volumes and compares the processing speeds of the AES algorithm with and without parallelization. The results confirm the hypothesis, showing that block parallelization in AES for large data volumes can double the data processing speed compared to the non-parallel approach. The paper concludes that block parallelization might be effective not only for the AES algorithm but also for any block symmetric algorithm. It also suggests that parallelization allows for more efficient use of multi-core systems and reduces the execution time to complete the encryption operation. © 2021 Copyright for this paper try its authors.…