Securing OTP-based Access in Film-sharing Platforms Using RSA Encryption and QR Codes

I Ketut Gede Suhartana *

Informatics Department, Faculty of Mathematics and Natural Science, Udayana University, Indonesia.

I Nyoman Budhiarta Suputra

Informatics Department, Faculty of Mathematics and Natural Science, Udayana University, Indonesia.

Anak Agung Ngurah Gunawan *

Physics Department, Faculty of Mathematics and Natural Science, Udayana University, Indonesia.

*Author to whom correspondence should be addressed.


Abstract

Login data refers to information used by individuals who have purchased or subscribed to a specific membership. Typically, this data includes an OTP code. In this research, the OTP code is utilized to grant users access to view the list of movies associated with the account that added them as a member. OTPs are particularly vulnerable to attacks, as they are often transmitted via phone numbers or email. To mitigate risks such as eavesdropping or interception, implementing robust data security systems is essential. Cryptography, the science of data security and authenticity, plays a crucial role in protecting sensitive information. Rivest-Shamir-Adleman (RSA) is one of the algorithms employed to secure data. In this research, the RSA algorithm is used to encrypt the OTP code provided to members. This encrypted OTP code is then converted into a QR code format and sent to the user via email. An application of the RSA algorithm in this research has proven effective in securing data. This is supported by the results of avalanche effect testing, which showed an average security improvement of 51.9%. Based on this percentage, it can be concluded that the system provides a high level of data security, making it challenging for unauthorized individuals to breach.

Keywords: RSA, cryptography, encryption, decryption, OTP, login


How to Cite

Suhartana, I Ketut Gede, I Nyoman Budhiarta Suputra, and Anak Agung Ngurah Gunawan. 2024. “Securing OTP-Based Access in Film-Sharing Platforms Using RSA Encryption and QR Codes”. Asian Journal of Research in Computer Science 17 (9):112-25. https://doi.org/10.9734/ajrcos/2024/v17i9503.

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