Fitria

Work place: Darmajaya Institute of Informatics and Business, Faculty of Computer Science, Bandar Lampung 35142, Indonesia

E-mail: fitria@darmajaya.ac.id

Website: https://orcid.org/0000-0003-4751-1441

Research Interests:

Biography

Fitria is a lecturer at the Darmajaya Institute of Informatics and Business, Department of Informatics Engineering, Lampung Indonesia. She Obtained a Master’s degree in Computers from Gajah Mada University, Yogyakarta with a Computer Science Study Program. His representative published articles are listed as follows: Imputation missing value to overcome sparsity problems, Telkomnika (Telecommunication Computing Electronics and Control) 2024, 22(4), pp. 949–955 and Visualization of data on earthquake prone areas from the analysis of earthquake data vibrations, Test Engineering and Management, 2019, 81(11-12), pp. 5301–5308,His research activities focused on artificial intelligence, data mining algorithms, image processing and cloud computing.

Author Articles
Benchmarking SHA256 vs Scrypt in Blockchain Block Discovery

By Fitria Joko Triloka Eko Win Kenali Riko Herwanto

DOI: https://doi.org/10.5815/ijmsc.2025.04.04, Pub. Date: 8 Dec. 2025

Blockchain technology has emerged as a pivotal innovation across multiple sectors due to its decentralized nature, secure transaction processing, and transparency. Central to blockchain operations are cryptographic hashing algorithms like SHA256 and Scrypt, which play a crucial role in ensuring transaction integrity and security. This study conducts a comprehensive benchmarking analysis of SHA256 and Scrypt, focusing on their performance in blockchain block discovery, specifically evaluating hashing speed and block discovery probability. SHA256, known for its high hashing speed, demonstrated rates reaching 101.111 kH/s during a 10-hour test, whereas Scrypt performed at a slower average speed of 9 kH/s. However, Scrypt exhibited a higher probability of block discovery, achieving up to 8.18%, significantly surpassing SHA256's near-zero probability under similar conditions. Tests across various CPUs underscore these differences: SHA256 excels in raw hashing speed, while Scrypt’s memory-intensive design offers greater ASIC resistance and a higher likelihood of block discovery, especially in environments that demand enhanced security. These findings highlight the importance of choosing an algorithm aligned with the specific requirements of a blockchain application, balancing speed, security, and resistance to specialized hardware attacks. The study suggests that hybrid approaches combining SHA256’s speed with Scrypt’s security features could maximize both efficiency and security, contributing valuable insights into the ongoing optimization of blockchain technology.

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