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Enhancing E-Commerce Security Based on Involution Function Using Twin Key AES Cipher
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DOI：10.1049/ise2/5710384.png)
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Abstract
En 中文
In the realm of surging e-commerce data and increasing digital transactions, ensuring end-to-end security is paramount to protect sensitive information and maintain user trust. The Advanced Encryption Standard (AES), a cornerstone of network security, relies on symmetric key encryption for secure communication. However, rapid advancements in cryptanalysis and computational power pose new threats to AES, particularly exposing vulnerabilities related to its static S-Box design. This article is motivated by the urgent need to enhance cryptographic resilience in dynamic threat environments, especially for applications involving online financial systems, secure cloud storage, and real-time communication. To address these concerns, we propose an involution-based concurrent error detection (CED) mechanism for dynamic twin-key generation, significantly improving resistance against differential and linear cryptanalysis. By exploring the evolution of involution structures in stream cipher construction, we introduce a low-latency CED framework tailored for symmetric block ciphers. The proposed method outperforms traditional AES-128 by leveraging a dual-key encryption approach. Additionally, we design a programmable, key-dependent S-Box architecture that enhances unpredictability and fortifies the encryption process, particularly in hardware-constrained environments such as IoT devices and embedded systems. Mathematical analysis substantiates the robustness and practicality of the proposed enhancements, offering a future-ready solution to secure modern data systems against emerging decryption techniques.
Keywords:
advanced encryption standard (AES)
data security
e-commerce
involution-based concurrent error detection (CED)
symmetric key encryption
twin-key generation
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