Privacy Enforcement on Subscriber's Data in Cloud Computing

Data stored in the cloud are susceptible to an array of threats from hackers and also to undetectable and unauthorized access by the cloud service provider. This is because the subscriber has no access to the internal operations of the cloud and cannot control access to his data. Therefore confidentially, availability and integrity of subscriber's data must be maintained to gain their trust in cloud-based systems. This work made use of privacy with non-trusted provider algorithm to ensure privacy of subscriber's data. Here, the subscriber encrypts their data before sending it to the se4rvfice provider that performs a second encryption before storage in the cloud. Simulation was done on multimedia dataset download from Stanford University dataset. The system results were then compared with an existing systems using a trusted cloud provided and it ensured a higher level of privacy on subscriber's data. The results were evaluated using encrypted time, decryption time and brute force hack. Results showed that with the proposed system, the subscriber had a high level of control over his data sending it to the cloud service provider. It also promises an increase adopted of cloud computing by businesses and organization with highly sensitive information as it contains measures to ensure that the subscriber's data is not readily available to unauthorized user.