Published Paper Details:

Nowadays, more and more data are being created and analysed. Users were able to save their data in the cloud and access it whenever they needed to owe to Cloud Storage Service (CSS). Due to the possibility that sensitive data will be shared with unauthorised parties, outsourcing to the cloud raises serious privacy concerns. That's why encryption is a must before sending data off-site. Traditional key search-oriented encryption methods, on the other hand, can't handle basic activities or direct searches on encrypted data. As a result, there is a pressing need for a more robust and safe method of storing data on the cloud, from which it can be quickly retrieved as needed. The study's goal was to develop security for retrieving data from the cloud. To address this pressing issue, we have provided a comprehensive overview of the most up-to-date methods and strategies in use today. We divide the methods of protecting privacy into four groups: those that rely on cryptography, those that rely on probability, those that rely on anonymization, and those that rely on rankings. In addition, a taxonomy of methods for protecting sensitive administrative information has been developed by our team. In addition, we provided a thorough evaluation of the privacy-protecting methods from the perspective of meeting privacy-protecting standards. Therefore, it is extremely desirable to provide methods for deploying effective auditing and accountability procedures that monitor the usage of data records in an anonymous fashion while also tracking the provenance to protect the data's privacy.