Robust technique for data security in multicloud storage using dynamic slicing with hybrid cryptographic technique

Abstract

Multi cloud storage is one of the most important services in cloud computing, used to store and access the data remotely. With the advancement in internet technology, the use of cloud computing has improved rapidly in many countries. Data security is considered as one of the most critical aspects in cloud computing due to the valuable and sensitive information stored in the cloud for the clients. To enhance the privacy and security of the information in the multi cloud, a robust technique is presented in this paper. The main focus of this study is to address the privacy and security risks of data in the multi cloud storage. The proposed technique is based on the cryptographic technique with dynamic file slicing method for securing data in multi cloud. Specifically, data is fragmented into many slices. The number of slices is defined by the data owner. The sliced files are encrypted with 3 DES (data encryption standard) and elliptical curve cryptography (ECC) algorithm. The performance of the proposed technique is evaluated using latency time. Efficacy of the technique is analyzed by varying the file size and format. Results reveal that the proposed technique outperforms the other methods. In addition to this, five prime security issues such as privacy, confidentiality, data integrity, malicious files and insider attacks are also examined and compared with the other existing models.