Abstract

Recently, cloud computing is an emerging technology along with big data. Both technologies come together. Due to the enormous size of data in big data, it is impossible to store them in local storage. Alternatively, even we want to store them locally, we have to spend much money to create bit data center. One way to save money is store big data in cloud storage service. Cloud storage service provides users space and security to store the file. However, relying on single cloud storage may cause trouble for the customer. CSP may stop its service anytime. Also, the CSP is the third party that user have to trust without verification. After deploying his file to CSP, the user does not know who access his file. Even CSP provides a security mechanism to prevent outsider attack. However, how user ensure that there is no insider attack to steal or corrupt the file. The big data file is split into chunks and distributed to multiple cloud storage provider (CSP). Asymmetric security concept is applied to this research. The metadata will be encrypted and transfer to the user who requests to access the file. The file accessing, monitoring, metadata transferring is functions of dew computing which is an intermediate server between the users and cloud service. Different from the prior works, group key is used to encrypt the shared data and secret sharing scheme is used to distribute the group key in SSGK. Extensive security and performance analyses indicate that our protocol highly minimizes the security and privacy risks of sharing data in cloud storage and saves the storage space. Hence, the analyzes minimize the risk; ensure data privacy, also accessing control and less generation time.

Description