An Enhanced Technique to discover web data extraction and Data mining in Multi Cloud Server

Abstract

Data mining is a critical stage in the Knowledge Discovery process acquire from databases (KDD), thus a new approach that’s can joint with online data process of extraction, which serves as data gathering from the global network ( web), and data mining techniques is required.The primary contribution of this study is the proposal of a system for collecting categorical online data on several cloud servers while ensuring data security and integrity for consumers. The algorithms' effectiveness employed inside our technique is illustrated using clustered sections of the data that should be encrypted inside the cloud server combining the three clustering measurements precision, recall, and accuracy. We proposed KeyGen algorithm to maintain data security by using cryptographic concepts with respective ABE (attribute-based encryption) and cypher text policy (cypher text policy) are two types of attribute-based encryption (CP-ABE).