International Journal of Advance Research in Science and Engineering (IJARSE)
Data sharing for dynamic groups is a promising approach that anonymously shares the data with others. Though, anonymity and traceability for sharing the data was provided in cloud environments, storage overhead with integrity and encryption computation cost remained constant. In this paper, a framework called Cryptographic Multi-linear Data Sharing for Dynamic Group (CMDS-DG) is addressed to reduce the storage overhead, encryption computation cost and to maintain privacy on adding new users in a cloud environment. The cryptographic based data sharing on dynamic cloud service use repeat key rotate encryption to maintain higher privacy level. The performance results show that the CMDS-DG framework can significantly reduce the encryption computation cost by minimizing the storage overhead and maintains a higher privacy level with other data sharing methods.