Enhanced Security Through Distributed Fragmentation And Encryption For Cloud-Based Data Storage

This paper proposes a novel cloud data security paradigm for sensitive applications, integrating Equipartition File Segmentation (EFS), a hybrid encryption scheme, and distributed storage. EFS partitions files into uniform fragments, subsequently encrypted using alternating AES and Blowfish algorithms in Cipher Block Chaining (CBC) mode with unique Initialization Vectors (IVs). To ensure secure key management, an RSA key pair is generated; the AES/Blowfish keys are encrypted with the RSA public key and persisted within Firebase Firestore. Notably, the private RSA key is encrypted using a user-supplied password and stored within the Firebase Database alongside the public key. Encrypted file fragments are distributed across Amazon S3 and Azure Blob Storage to enhance data availability and resilience. File reconstruction is performed by retrieving the RSA-encrypted symmetric keys and the password-encrypted private RSA key, decrypting the private key, and subsequently decrypting and reassembling the file fragments through Sequential Data Reassembly. This architecture achieves enhanced data security through robust cryptographic techniques, secure key management protocols, and distributed storage, while maintaining acceptable performance characteristics.