Survey of Symmetric Encryption Techniques Implemented over GPU Platforms

Hawraa Moussa, College of Science for Women, University of Babylon
Ahmed Fanfakh, College of Science for Women, University of BabylonFollow

ORCID

Ahmed Fanfakh: https://orcid.org/0000-0002-6177-0012

Article Type

Review

Abstract

Encryption is one of the most important techniques used to deliver protection solutions. Symmetric encryption uses a single key for encryption and the decryption process. Symmetric encryption implements block encryption, replacement, and switching. Consequently, it is problematic if the private keys obtained from the protocols are frequent in certain states or exhibit reduced unpredictability. Several researchers applied the cryptography method in a parallel fashion to minimize the time needed to complete encrypting and decrypting data procedures. Numerous viable solutions have been found to increase the levels of encryption algorithm performance made by the researchers to use parallelism to boost their algorithms' throughput. In this paper, we have presented an overview of lightweight symmetric block cipher optimization techniques that are implemented over graphics processing units (GPUs) platforms. The obtained results show that the throughput ratio of the parallel block ciphers algorithms can increase linearly according to the growth in the number of parallel threads per GPU. To compare the most important parallel symmetric block cipher over GPU methods concerning computational cost, speed, key length, data security efficacy, and other factors. This study examines several important parallel symmetric block cipher techniques that are applied across all fields for data encryption and decryption. However, to demonstrate the reliability of any encryption in this study, the performance assessment takes into account factors like speed up, block size, number of rounds, throughput, key size, GPU models, and number of cores per GPU. All the state-of-the-art works showed that the symmetric block ciphers are well implemented over different GPU architectures.

Keywords

Graphics processing units (GPUs), Lightweight encryption, Symmetric block cipher, Dynamic key-dependent, cryptographic primitives

How to Cite This Article

Moussa, Hawraa and Fanfakh, Ahmed (2025) "Survey of Symmetric Encryption Techniques Implemented over GPU Platforms," Journal of Intelligent Informatics, Networking, and Cybersecurity: Vol. 1: Iss. 1, Article 2.
Available at: https://jiinc.uobabylon.edu.iq/journal/vol1/iss1/2