UPM Institutional Repository

Fast decryption methods for the Somsuk-RSA cryptosystem.


Citation

Asbullah, Muhammad Asyraf and Mohamad Azlan, Nur Adira (2024) Fast decryption methods for the Somsuk-RSA cryptosystem. In: 4th International Artificial Intelligence and Data Science Congress, 14-15 Mar. 2024, Izmir, Turkey. (p. 44).

Abstract

In today's digital landscape, safeguarding data transmission and storage is paramount, with the RSA cryptosystem standing as a crucial guardian through its asymmetric encryption mechanism. Despite its effectiveness, the Somsuk-RSA variant has emerged to enhance security measures, albeit with computational challenges, particularly during decryption. This research addresses these challenges by proposing innovative approaches to expedite decryption time. The key proposition involves replacing the Euler function with the Carmichael function, a strategic move to enhance efficiency compared to the original RSA and Somsuk-RSA. A comprehensive analysis of the decryption process reveals a notable slowdown in the Somsuk-RSA method, prompting refinement. The study, conducted across prime sizes of 512, 1024, and 2048 bits, underscores the efficacy of the New Somsuk-RSA Cryptosystem, demonstrating a noteworthy improvement in data decryption speed compared to the conventional Somsuk-RSA method. Thus, this research contributes valuable insights into optimizing the Somsuk-RSA variant, paving the way for enhanced data security and more efficient cryptographic processes in the evolving digital era.


Download File

[img] Text (Abstract)
119292.pdf - Other

Download (159kB)

Additional Metadata

Item Type: Conference or Workshop Item (Oral/Paper)
Divisions: Faculty of Science
Centre for Foundation Studies in Science of Universiti Putra Malaysia
Publisher: All Sciences Academy
Keywords: Asymmetric; Encryption; RSA; Carmichael function; Cryptography
Depositing User: Mr. Mohamad Syahrul Nizam Md Ishak
Date Deposited: 29 Oct 2025 07:47
Last Modified: 29 Oct 2025 07:47
URI: http://psasir.upm.edu.my/id/eprint/119292
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item