A Multi-Level Rule Model for Selecting Post-Quantum Cryptography in 5G Application and Beyond

The Post Quantum Cryptography (PQC) is promising in enhancing the security needed in the next-generation network. However, migrating the PQC to the network comes with a cost such as increased computational cost, larger key sizes, etc., which may affect the processing time and the Quality of Service...

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Bibliographic Details
Published in2024 IEEE International Conference on Consumer Electronics (ICCE) pp. 1 - 6
Main Authors Ojetunde, Babatunde, Kurihara, Takuya, Yano, Kazuto, Sakano, Toshikazu, Yokoyama, Hiroyuki
Format Conference Proceeding
LanguageEnglish
Published IEEE 06.01.2024
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Summary:The Post Quantum Cryptography (PQC) is promising in enhancing the security needed in the next-generation network. However, migrating the PQC to the network comes with a cost such as increased computational cost, larger key sizes, etc., which may affect the processing time and the Quality of Service (QoS) that is required in these networks. Therefore, a method to effectively and efficiently selects PQC algorithm is necessary. This paper proposes a method of selecting a suitable PQC algorithm based on the network QoS requirements and the PQC algorithms, key exchange mechanism performance. In particular, a three-level selection model for the selecting a suitable PQC algorithm is introduced. The first level model rules are based on the general IF-THEN rule while the second model uses fuzzy logic rule. A default rule based on Euclidean distance is introduced at the third level. Thereafter, the PQC selection process is presented. The performance of the proposed method is evaluated by experimenting with PQC algorithm using a client-server connection. The evaluation results show that the proposed selection model is effective in selecting a PQC algorithm based on the network condition. It is confirmed that the PQC algorithm can be selected with up to 97-99% certainty factor in all selected PQC algorithm.
ISSN:2158-4001
DOI:10.1109/ICCE59016.2024.10444292