Complying with Data Handling Requirements in Cloud Storage Systems

Abstract : In past years, cloud storage systems saw an enormous rise in usage. However, despite their popularity and importance as underlying infrastructure for more complex cloud services, today’s cloud storage systems do not account for compliance with regulatory, organizational, or contractual data handling requirements by design. Since legislation increasingly responds to rising data protection and privacy concerns, complying with data handling requirements becomes a crucial property for cloud storage systems. We present PRADA, a practical approach to account for compliance with data handling requirements in key-value based cloud storage systems. To achieve this goal, PRADA introduces a transparent data handling layer, which empowers clients to request specific data handling requirements and enables operators of cloud storage systems to comply with them. We implement PRADA on top of the distributed database Cassandra and show in our evaluation that complying with data handling requirements in cloud storage systems is practical in real-world cloud deployments as used for microblogging, data sharing in the Internet of Things, and distributed email storage.

 EXISTING SYSTEM :

 In the context of cloud computing, sticky policies have been proposed to express requirements on the security and geographical location of storage nodes. However, so far it has been unclear how this could be realized efficiently in a large and distributed storage system. With PRADA, we present a mechanism to achieve this goal.

 DISADVANTAGE :

 Data Security Privacy Issue High Risk when use cloud storage during large data process Less speed data transfer

 PROPOSED SYSTEM :

 Cloud computing is an emerging paradigm for large scale infrastructures. It has the advantage of reducing cost by sharing computing and storage resources, combined with an on-demand provisioning mechanism relying on a pay-per-use business model. These new features have a direct impact on the budgeting of IT budgeting but also affect traditional security, trust and privacy mechanisms in this we use Crypto System Algorithm and Image Pixel Password. Many of these mechanisms are no longer adequate, but need to be rethought to fit this new paradigm. In this paper we assess how security, trust and privacy issues occur in the context of cloud computing and discuss ways in which they may be addressed.

 ADVANTAGE :

 High Speed Data Transfer Large data can be accessed in cloud storage High Privacy in data transfer