The popularity and widespread use of Cloud have brought great convenience for data sharing and data storage. The data sharing with a large number of participants take into account issuers like data integrity, efficiency and privacy of the owner for data. In cloud storage services one critical challenge is to manage ever-increasing volume of data storage in cloud. To make data management more scalable in cloud computing field, deduplication a well-known technique of data compression to eliminating duplicate copies of repeating data in storage over a cloud. Even if data deduplication brings a lot of benefits in security and privacy concerns arise as user’s sensitive data are susceptible to both attacks insider and outsider. A convergent encryption method enforces data confidentiality while making deduplication feasible. Traditional deduplication systems based on convergent encryption even though provide confidentiality but do not support the duplicate check on basis of differential privileges. Data deduplication is the technique which compresses the data by removing the duplicate copies of identical data and it is extensively used in cloud storage to save bandwidth and minimize the storage space. To secure the confidentiality of sensitive data during deduplication, the convergent encryption technique is used to encrypt the data before outsourcing. In this project the system propose two secure scheme namely SecCloud and SecCloud+. SeeCloud introduce an auditing entity with a maintenance of a MapReduce cloud. SecCoud is supported on both block level and sector level. SecCoud also enables secure deduplication.