Application of RSA algorithm in e-passport with python3 implementation

Yiyang Liu

doi:10.54254/2755-2721/4/20230353

Research Article

Open access

Published on 31 May 2023

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Liu,Y. (2023). Application of RSA algorithm in e-passport with python3 implementation. Applied and Computational Engineering,4,77-85.

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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.

https://doi.org/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

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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.

Cite this article

Liu,Y. (2023). Application of RSA algorithm in e-passport with python3 implementation. Applied and Computational Engineering,4,77-85.

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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About volume

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

Conference website: http://www.confspml.org

ISBN：978-1-915371-55-3(Print) / 978-1-915371-56-0(Online)

Conference date: 25 February 2023

Editor：Omer Burak Istanbullu

Series: Applied and Computational Engineering

Volume number: Vol.4

ISSN：2755-2721(Print) / 2755-273X(Online)

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