Cloud-based data security transactions employing blowfish and spotted hyena optimisation algorithm

Abstract

Because of its on-demand servicing and scalability features in cloud computing, security and confidentiality have converted to key concerns. Maintaining transaction information on third-party servers carries significant dangers so that malicious individuals trying for illegal access to information data security architecture. This research proposes a security-aware information transfer in thecloud-based on the blowfish algorithm (BFA) to address the issue. The user is verified initially with the identification and separate the imported data using pattern matching technique. Further, BFA is utilised to encrypt and save the data in cloud. This can safeguard the data and streamline the proof so that client cannot retrieve the information without identification which makes the environment secure. The suggested approach's performance is evaluated using several metrics, including encryption time, decryption time, memory utilisation, and runtime. Compared to the existing methodology, the investigational findings clearly show that the method takes the least time to data encryption.