A Huffman-FHE Based Framework for Secure and Efficient Cloud Data Compression
Jean, R.B *
Department of Computer Science, Adamawa State University, Mubi, Nigeria.
Manga, I
Department of Computer Science, Adamawa State University, Mubi, Nigeria.
Sarjiyus, O
Department of Computer Science, Adamawa State University, Mubi, Nigeria.
*Author to whom correspondence should be addressed.
Abstract
Cloud computing has transformed data storage; yet, achieving a balance between compression efficiency and stringent security is a significant problem. This study introduces the inaugural integrated framework that merges Huffman lossless compression with Fully Homomorphic Encryption (FHE) specifically, the CKKS scheme with 128-bit security to attain optimal storage economy and quantum-resistant data privacy. In contrast to previous hybrid methodologies, our methodology exhibits reliable scalability and almost linear time complexity across diverse datasets, encompassing textual logs and numerical records from Zenodo. Experiments demonstrate a compression efficiency of 20–45% (ratios: 1.29–1.86), with encryption/decryption latency under 5ms for 3.3MB files, surpassing standalone FHE in throughput by a factor of 2.1 (peak: 86,000 KB/s). Robust correlations (r > 0.97) between file size and processing time validate system reliability, while negligible runtime fluctuation highlights operational stability. This study demonstrates the viability of Huffman-FHE integration for secure cloud storage and paves the way for real-time multimedia applications, such as encrypted medical imaging, through prospective enhancements like parallel processing and large-file algorithm refinement.
Keywords: Data, compression, cloud storage, fully homomorphic encryption, huffman coding