ISSN: 2277-405X
An Adaptive Multi-Algorithm Hybrid Encryption Framework For Cloud Security
Paper ID: IJATRD-2026-00015
Keywords:
Keywords:
Abstract:
Abstract
Cloud computing has revolutionized data storage and accessibility, but it has also introduced significant challenges related to confidentiality, integrity, and unauthorized access. To address these concerns, a hybrid cryptographic framework is presented that integrates symmetric and asymmetric encryption with algorithm rotation to enhance resilience and efficiency. Files are encrypted using one of three symmetric algorithms—AES, Blowfish, or ChaCha20—selected randomly during each encryption cycle, thereby introducing unpredictability and reducing vulnerability to targeted attacks. The symmetric key is further secured using RSA, ensuring that only authorized users with the corresponding private key can access the data. Encrypted files, RSA-encrypted keys, and metadata are stored securely in the cloud using AWS S3, providing scalability and controlled access. Performance evaluation demonstrates that AES achieves the fastest encryption and decryption speeds, ChaCha20 offers lightweight efficiency for smaller files, and Blowfish ensures strong security with moderate computational overhead, while storage overhead remains within acceptable limits of 5–8%. Security analysis confirms strong resistance against brute-force and key interception attacks, and integrity verification through hashing ensures data authenticity. The results highlight that the proposed hybrid cryptography model achieves a balanced trade-off between speed, security, and unpredictability, establishing a dependable foundation for secure cloud data storage applicable to academic, enterprise, and personal domains.
How to Cite
Raj D, A., P G, D., S Gunasekaran, Pranith S, Rithik K, & Sreyas B (2026, June 20).
An Adaptive Multi-Algorithm Hybrid Encryption Framework For Cloud Security.
https://ijatrd.org/en/article/2026-00015
References:
References
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