Secured data storage in the cloud using logical Pk-Anonymization with Map Reduce methods and key generation in cloud computing

Abstract

The significant security assessment is rising because the vast amount of data can be renewed continuously in the cloud. Cloud information is clustered and refreshed productively using a progressive clustering procedure over the data. To verify the security of a user's connection to the cloud, the development of information to the servers could be used. Thus, the trustworthiness of the information plays a vital role in determining the authority of the information. Map Reduce is used to deal with enormous volumes of information, and informational indexes are circulated on the cloud. A parallel information preparation structure is then received, allowing for the collection of current information that joins over time. Information anonymization methods are then used to achieve security and high information utility when an update occurs, resulting in less data loss and refresh time over time.