UPM Institutional Repository

An efficient identification scheme based on Bivariate function hard problem


Citation

Boon, Chian Tea and Kamel Ariffin, Muhammad Rezal and Abd Ghafar, Amir Hamzah and Sapar, Siti Hasana and Mohamat Johari, Mohamat Aidil (2022) An efficient identification scheme based on Bivariate function hard problem. Symmetry, 14 (9). art. no. 1784. pp. 1-12. ISSN 2073-8994

Abstract

Symmetric cryptography allows faster and more secure communication between two entities using the identical pre-established secret key. However, identifying the honest entity with the same secret key before initiating symmetric encryption is vital since the communication may be impersonated. Tea and Ariffin, in 2014, proposed a new identification (ID) scheme based on the Bivariate Function Hard Problem (BFHP) that proved secure against impersonation under passive, active and concurrent attacks via the BFHP-hardness assumption. In this paper, we upgrade the ID scheme and improve some of its settings. Next, we provide the security proof against impersonation under active and concurrent attacks in the random oracle model via the hardness assumption of the One-More BFHP. Finally, we include an additional discussion about the computational efficiency of the upgraded ID scheme based on BFHP and present its comparison with other selected ID schemes.


Download File

Full text not available from this repository.
Official URL or Download Paper: https://www.mdpi.com/2073-8994/14/9/1784

Additional Metadata

Item Type: Article
Divisions: Faculty of Science
Institute for Mathematical Research
DOI Number: https://doi.org/10.3390/sym14091784
Publisher: Multidisciplinary Digital Publishing Institute
Keywords: Active and concurrent attacks; Bivariate Function Hard Problem; Identification scheme; Provable security; Symmetric encryption
Depositing User: Ms. Nur Faseha Mohd Kadim
Date Deposited: 11 Jul 2024 04:20
Last Modified: 11 Jul 2024 04:20
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.3390/sym14091784
URI: http://psasir.upm.edu.my/id/eprint/100234
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item