Secured Data Analytics on Cloud Environment using Signcryption

The volume of digital data has been increasing day by day. So, computer industries have to handle and process massive amounts of data in various formats. Today cloud computing paradigm reduces the development cost of IT infrastructure in IT industries and business organizations. In cloud computing, the business organizations store their data on remote servers and they have no control it. Data security and privacy protection are two important issues of user concern in a cloud environment and analysis the huge amount of customer details is difficult. Hence, the proposed system implements Signcryption with HECC and SHA-1 for data security and protection. For analyzing a large amount of data on the cloud environment, implements parallel apriori association rule mining on Amazon EMR. The HECC based on Hyperelliptic curve discrete logarithm problem. The attacker can't easily guess the password of the user. The results illustrate that Password guessing attack, Denial of Service (DoS) attack, Compromised key attack, and Eavesdropping and client spoofing attack is not feasible. It also can help developers to do secure parallel and distributed computation in a cloud environment.