An Efficient Multi Level Client Integrity Verification and Encryption Model on Cloud Data Security

With the immense growth of distributed technology, cloud computing has gain vast popularity among service providers and their customers. Service providers initiate their services by using cloud platform; the clients are required to access their services through a secured channel. As the client sensitive data are stored in cloud server either in public or private access, there exists a malicious or an unauthorized access to cloud storage data against third party attacks. For this, number of cloud security models have been proposed in the literature to secure the sensitive storage against unauthorized access. But the existing security models are having issues due to memory and time constraints. Hence, the data security issues and data privacy preservation issues have become the for both service providers and cloud service users. In this proposed work, An Efficient Client Integrity Verification based Q-CPABE model was implemented as an extended data security and privacy preserving model on the storage of cloud data. The main motto of this model is to secure the user’s sensitive data with a strong access control mechanism using the chaotic integrity verification based QCPABE technique. Our results showed that the Chaotic Integrity Verification of Q-CPABE model is having efficient accuracy and time constraints compared to the traditional