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A generic model for security algorithms in mobile electronic payment systems.
- Source :
-
Journal of Computational Methods in Sciences & Engineering . 2023, Vol. 23 Issue 3, p1425-1438. 14p. - Publication Year :
- 2023
-
Abstract
- At a time when communication network technology is developing rapidly, the security of the Internet has aroused widespread concern in the academic community. In particular, electronic payment, which has been booming in recent years, has great security risks and people are prone to information leakage and property loss in the process of payment. In order to solve these problems, this study adopts the AES to encrypt the information in the payment process, introduces the RSA Public Key System (RSA) and the SM4 packet cipher algorithm for comparison, and analyses their encryption (decryption) speed, decryption (decryption) speed and encryption speed respectively. (decryption) speed, as well as PR curve, Loss function and sensitivity. The results show that the AES algorithm has a faster encryption (decryption) speed compared to the other two algorithms. In the PR curve, the AES algorithm has an AP value of 0.9988, which is significantly higher than the other two algorithms, and has a better balance between accuracy and recall, and better performance. In the sensitivity analysis, the AES algorithm can have the highest sensitivity of 97.88%. This is significantly higher than the 93.47% and 96.59% of the other two algorithms. Moreover, as shown by the Loss function of the AES algorithm, it converges faster and the Liss value varies between 0.1 and 0.9. In summary, the AES algorithm has a faster encryption speed and is better in terms of accuracy, convergence speed and security factor in all aspects. This also demonstrates the feasibility and effectiveness of this algorithm for information security protection in electronic payment processes. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 14727978
- Volume :
- 23
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- Journal of Computational Methods in Sciences & Engineering
- Publication Type :
- Academic Journal
- Accession number :
- 164364989
- Full Text :
- https://doi.org/10.3233/JCM-226694