EB Algorithm for Effective Privacy and Security of Data Processing in MCC
V.S. Prakash, N. Bharathiraja, R. Deiva Nayagam, R. Thiagarajan, R. Krishnamoorthy, J. Omana · 2022
Mobile Cloud computing (MCC) distributes amenities over the Internet, such as hardware, software, and bandwidth. Mobile gadgets smartphones are enabled for exploration. Customers and businesses are increasingly adopting mobile cloud computing technology. Network security, data access, authentication, web application security, authorization, data breach, and data confidentiality are the entire anxiety of MCC's protection. Mobile devices' data storage capacity is limited due to adequate data storage and processing. Security threats must be investigated and analyzed in order to build a secure MCC environment. The study's purpose is to identify a way out that can improve technological requirements in mobile cloud computing in terms of data privacy and security for clients. The enhanced blowfish (EB) approach is utilized to encrypt a person's data security, and the global private key is hashed using a basic hash function. The integrity and privacy of user data can be improved through hashing. The suggested technique is compared to a standard blowfish algorithm and DES with various parameters. The EB algorithm outperforms both the standard blowfish algorithm and the DES algorithm.