An improved homomorphic based encryption and decryption process on cloud texual data

Data security in cloud computing plays a vital role in the real-time applications. Most of the traditional homomorphic encryption models are difficult to encrypt large data in the rea-time applications. Also, these models are not application to large integers for large dataset. In this work, we have optimized the traditional homomorphic encryption model with large data in realtime cloud environment. Experimental results proved that the present model has better efficiency in term of runtime in realtime cloud environment.