A Novel Hybrid Cryptographic Model For Cloud Data Protection

Abstract

Cloud computing has make an emerging technology for delivering on-demand, virtualized computing resources over the Internet. Because cloud services fundamentally rely on shared, outsourced infrastructure, they introduce serious concerns regarding data confidentiality, integrity, privacy and authentication. A huge range of cryptographic mechanisms have been proposed to address these concerns, yet each individual algorithm, whether symmetric or asymmetric that carries inherent limitations in terms of security strength, computational cost to modern attacks such as cryptanalytic. This research go through existing experiments so find out  the use of hybrid cryptography as a means of strengthening data security on the cloud. There are basically three different setups are constructed and tested to see which one worked best. First, a concurrent approach that chops a file into chunks and encrypts them simultaneously is using AES, DES, and RC4. Second, a layered method that runs the same three algorithms one after another on the whole files. And third, a hybrid system that wraps AES symmetric encryption inside RSA asymmetric protection. All three were coded in Node.js with the CryptoJS library and put through their paces on files from 1 MB up to 30 MB. The results after experiments show that the parallel hybrid algorithm achieves encryption and decryption times comparable to, and for larger files marginally better than, standalone AES, while simultaneously distributing trust across three distinct cryptographic primitives. The layered and RSA-assisted hybrid cryptosystem approaches, in contrast, it also provide additional layers of security at a measurable cost in turnaround time. The comparison we have here helps us figure out which hybrid encryption strategy is best for storing cloud data when we have to balance security and performance. We need to find the hybrid encryption strategy for cloud data storage. This is due to the inherent conflict between maximizing security and maintaining speed.