Securing Cloud Data With a Blockchain: Innovating AES Encryption via Modified Sine Map Rounds
Anil, Gunjan Ansari · Security and Privacy · 2025
ABSTRACT In the digital landscape, the rapid adoption of cloud computing has revolutionized data storage and management paradigms. However, it exposes sensitive information to significant security vulnerabilities such as scalability challenges, privacy risks, and performance limitations. Besides, traditional encryption methods often fall short in addressing vulnerabilities related to compromised encryption keys and centralized key management systems. To tackle these challenges, the proposed study proposes an enhanced advanced encryption standard (AES) algorithm that integrates modified sine map rounds for improved security and efficiency and resisting brute‐force attacks, thereby reducing the risk of data breaches. Furthermore, the enhanced AES is incorporated within a blockchain framework to leverage its decentralized and immutable characteristics for secure data storage and transmission, protecting against man‐in‐the‐middle attacks. The findings of the approach demonstrate superior efficiency, achieving encryption in 0.79 s, decryption in 0.91 s, and memory usage of 7.6 KB, outperforming other methods like EMAES, Blowfish + ECC, RC4 + ECC, and RC6 + ECC. These results highlight its potential to enhance cloud data security while contributing to advancements in blockchain‐based solutions.