Preserving Data Security in Cloud Environment Using an Adaptive Homomorphic Blockchain Technique

The digital cloud platform is vulnerable to harmful activities; therefore, developing a security model is an important paradigm to secure the data in cloud storage. For this, several crypto algorithms have been designed but still securing the huge data using conventional cryptosystems is a difficult task. Hence, a blockchain strategy was applied to large data transactions; however, offering protection for large data has become a complicated target. Also, it demands more time duration for the encryption and decryption process. To address this issue, the current research has developed a Ring Character Hash (RCH) with Ring Elliptical Curve Cryptography (RECC) Homomorphic model. This proposed model can encrypt and decrypt large-sized files at a time. Consequently, the proposed model's efficiency is determined by estimating the cryptanalysis property for the proposed algorithm. Finally, some important metrics of the presented model are compared with recent existing approaches thus achieving better results with less processing time and error rate.