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http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31802| Title: | Comparative Evaluation of AES, Camellia, and CLEFIA for Lightweight Environments: A Post-2023 Systematic Literature Review and Meta-Analysis |
| Authors: | OJENIYI, Joseph Adebayo FASOLA, Olusanjo Olugbemi ONYEABOR, Grace Amina ABDULSALAM, A. EMMANUEL, I. O. BABA, S. U. JIYA, J. B. |
| Keywords: | Proof Construction, Procedural Fluency, Undergraduate Mathematics Majors, APOS Theory, Scaffol |
| Issue Date: | Mar-2026 |
| Publisher: | Journal of Behavioural Informatics, Digital Humanities and Development Research |
| Series/Report no.: | Vol 12, No 1, March , 2026 Series; |
| Abstract: | The rapid proliferation of resource-constrained Internet of Things (IoT) devices, embedded sensors, and edge computing platforms has intensified the demand for cryptographic primitives that strike a balance between security and stringent hardware and energy constraints. This paper presents a post-2023 systematic literature review and meta-analysis of three standardized block ciphers: the Advanced Encryption Standard (AES), Camellia, and CLEFIA, with a focus on their adaptation to lightweight environments. Drawing on Scopus-indexed research from 2021–2024, we evaluate architectural innovations, hardware/software optimizations, side-channel countermeasures, and quantum-resilience considerations. Our analysis demonstrates that while AES dominates in hardware-accelerated and certification-driven environments, CLEFIA is most efficient in ultra-constrained hardware, and Camellia provides a balanced solution for mid-range systems. Recent developments, including RISC-V cryptographic extensions and machine learningassisted cryptanalysis, have reshaped performance and security expectations. Based on these findings, we propose a decision framework for cipher selection tailored to specific resource, energy, and certification constraints. |
| URI: | http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31802 |
| Appears in Collections: | Cyber Security Science |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Paper 5 - Vol 12 No 1 - Behavioural Informatics Journal.pdf | 472.76 kB | Adobe PDF | View/Open |
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