Applied and Computational Engineering

- The Open Access Proceedings Series for Conferences


Proceedings of the 3rd International Conference on Signal Processing and Machine Learning

Series Vol. 4 , 31 May 2023


Open Access | Article

Application of RSA algorithm in e-passport with python3 implementation

Yiyang Liu * 1
1 Cheshire Academy, Cheshire, CT 06410

* Author to whom correspondence should be addressed.

Applied and Computational Engineering, Vol. 4, 77-85
Published 31 May 2023. © 31 May 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Yiyang Liu. Application of RSA algorithm in e-passport with python3 implementation. ACE (2023) Vol. 4: 77-85. DOI: 10.54254/2755-2721/4/20230353.

Abstract

The e-passport is a bold approach which companied with Biometric Identification and Radio Frequency Identification. By employing the RSA encryption algorithm, e-passport have become effective for protecting the security during the transmission of information. This paper introduces the application of the RSA encryption algorithm in the e-passport, the possible security risks and vulnerabilities of active authentication, and the implementation of RSA encryption and decryption. The processing of RSA encryption and decryption is simulated by using Python, and the advantages and disadvantages of using this implementation in an e-passport are discussed. Because this paper uses a relatively basic RSA algorithm logic, there are certain security issues when applying it to an actual e-passport.

Keywords

RSA, Active Authentication, Python Simulation, Security, E-passport

References

1. “Security Mechanisms in Electronic ID Documents.” Federal Office for Information Security, January 20, 2021. https://www.bsi.bund.de/EN/Topics/ElectrIDDocuments/SecurityMechanisms/securBAC/bac_node.html.

2. “Doc Series // .” Doc Series. Accessed July 7, 2022. https://www.icao.int/publications/pages/publication.aspx?docnum=9303.

3. “Basics of Epassport Cryptography // .” Basics of ePassport Cryptography. Accessed July 7, 2022. https://www.icao.int/Security/FAL/PKD/BVRT/Pages/Basics.aspx.

4. Aljuaid, Nouf & Gutub, Adnan. (2019). Combining RSA and audio steganography on personal computers for enhancing security. SN Applied Sciences. 1. 10.1007/s42452-019-0875-8.

5. Shehata, Khaled, Hanady Hussien, and Sara Yehia. “FPGA Implementation of RSA Encryption Algorithm for E-Passport Application.” The International Conference on Electrical Engineering 9, no. 9th (2014): 1–5. https://doi.org/10.21608/iceeng.2014.30363.

6. Liu, Yifei, Timo Kasper, Kerstin Lemke-Rust, and Christof Paar. “E-Passport: Cracking Basic Access Control Keys.” On the Move to Meaningful Internet Systems 2007: CoopIS, DOA, ODBASE, GADA, and IS, n.d., 1531–47. https://doi.org/10.1007/978-3-540-76843-2_30.

7. “Python implements the rsa algorithm." Python implements the RSA algorithm. Accessed July 31, 2022. https://blog.csdn.net/qq_36944952/article/details/103973849?spm=1001.2101.3001.6650.1&utm_medium=distribute.pc_relevant.none-task-blog-2~default~BlogCommendFromBaidu~default-1-103973849-blog-46356869.pc_relevant_multi_platform_featuressortv2dupreplace&depth_1-utm_source=distribute.pc_relevant.none-task-blog-2~default~BlogCommendFromBaidu~default-1-103973849-blog-46356869.pc_relevant_multi_platform_featuressortv2dupreplace.

8. Sharma, Shruti, and Harshali Zodpe. “Implementation of Cryptography Algorithm for E-Passport Security.” 2016 International Conference on Inventive Computation Technologies (ICICT), 2016. https://doi.org/10.1109/inventive.2016.7830150.

9. Lekkas, Dimitrios & Gritzalis, Dimitris. (2007). E-Passports as a Means Towards the First World-Wide Public Key Infrastructure. 4582. 34-48. 10.1007/978-3-540-73408-6_3.

Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
Proceedings of the 3rd International Conference on Signal Processing and Machine Learning
ISBN (Print)
978-1-915371-55-3
ISBN (Online)
978-1-915371-56-0
Published Date
31 May 2023
Series
Applied and Computational Engineering
ISSN (Print)
2755-2721
ISSN (Online)
2755-273X
DOI
10.54254/2755-2721/4/20230353
Copyright
31 May 2023
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated