ABSTRACT
Cloud computing plays a significant role in storing data and can be organized by third parties. The main concern is the class’s identification and type of data already stored in the cloud storage. Other matters are data privacy and security issues in the cloud. The use of cloud computing resources and services plays a vital role in the essential aspects of consumption. An accurate data protection strategy for distributed computing can be done before and after understanding the data security requirements in selecting a possible approach to secure system data. This will help you decide which data is protected and which should not be used. So a secure cloud computing model is required based on automated data classification through various security mechanisms and data classification approaches. If cloud computing increases the amount of data and deals with relevant personal data like the patient’s medical records, then the cloud architecture should focus on more secure classified data according to their category for further processing and storage. In this study, data classification with machine learning and secure storage of detailed data is the primary concern area, and different previous researches and security mechanisms are going to review for extracting key ideas and knowledge for designing efficient systems for the concerned issues.
