Data deduplication may be a technique for eliminating duplicate copies of information, and has been wide employed in cloud storage to cut back cupboard space and transfer information measure. However, there's only 1 copy for every file keep in cloud albeit such a file is in hand by a large range of users. As a result,  deduplication system improves storage utilization whereas reducing dependability. What is more, the challenge of privacy for sensitive information additionally arises after they square measure outsourced by users to cloud.  Getting to address the on top of security challenges, this paper makes the primary conceive to formalize the notion of distributed reliable deduplication system. we tend to propose new distributed deduplication systems with higher dependability within which the information chunks square measure distributed across multiple cloud servers. The protection needs of information confidentiality and tag consistency also are achieved by introducing a settled secret sharing theme in distributed storage systems, rather than mistreatment convergent encoding as in previous deduplication systems. Security analysis demonstrates that our deduplication systems square measure secure in terms of the definitions laid out in the planned security model. As an indication of conception, we tend to implement the planned systems and demonstrate that the incurred overhead is incredibly restricted in realistic environments.