An Efficient and Secured Big Data Storage in a Cloud-based Environment Using Hybrid Cryptography Algorithm and Rivest, Shamir, Adleman Algorithm

Abstract

In recent years, big data analysis has been one of the hot research topics which attracts more researchers to work on it. Big data is comprised of highly sensitive data which is needed to be secured and monitored effectively. However, problems related to privacy and security have been provoked due to ineffectiveness in storing the data and relying on third parties. To overcome the issues of storing the data in a cloud environment securely, this research introduced a hybrid cryptography algorithm that is comprised with advanced encryption standard (AES), triple data encryption standard (TDES), and blow fish algorithm (BFA). Initially, the data from the user are acquired and uploaded to the cloud storage space, then a key is generated which helps in encrypting and decrypting the user’s data. Process of encryption and decryption takes place using the proposed hybrid cryptography algorithm which effectively securely stores the data and helps the user based on their needs. Moreover, the rivest, shamir, adleman (RSA) algorithm is used in the process of key generation which helps to encrypt and decrypt the messages. The efficiency of the proposed approach is compared with the existing triple data encryption standard (TDES), blow fish algorithm – spotted hyena optimization (BFA-SHO) algorithm and secure data deletion and verification (SDVC) scheme on based on ciphertext policy-attribute based encryption (CP-ABE). The results obtained through analysis exhibits that suggested methodology took 183450 ms for executing the file size of 20 MB whereas the existing BFA-SHO took 248107 ms for executing the same file size of 20 MB.