Cloud-Based Data Management Security Models

The advents of Computing have led to the evolutions of large data. However, the availability of these large data can no longer be effectively stored and analyzed with traditional data management techniques. This brought about the emergence of Cloud Basedcomputing that are used to process large-scale data management tasks efficientlywith least cost. Despite this development security and privacy are issues of concern. This Study exploresa cloud based data Management security models that maintain both data and user privacyusing File Encryption/Decryption using AES algorithm and Role based access control respectively. The study adopts a Model Design and Simulation-based approach using Java API 8.2 and CloudSim 3.0 respectively to implement the security components: where Response time, latency and throughput were determined. The experiment values reached demonstrates a fast performance Role based Access control and AES File Encryption technique. General analysis shows that the modelsexhibit highly secured approach for organizations to overcome large data management and computing benefits of cloud computing. Testing the performance of the framework with more complicated data, security threats, and bandwidth/memory were recommended for further studies.