Enhanced secure user data on cloud using cloud data centre computing and decoy technique

Abstract

In recent years the storage of cloud platform was increased a lot. Large set of personal and business data can be stored and accessed at anywhere at any time. Data’s are stored in a secured manner using various secured and optimized algorithms. Over this data theft and modifications are done in a highly manner. Therefore this creates a various security risks and data theft problems in cloud. There is need of security technique to overcome this problem. A proposed technique called cloud data centre technique is a new model for securing data from different attacks and security risks. This technique incorporate the FEBER and CUSCUM algorithms, which will monitor the user activity and then identify the legitimacy and prevent from any unauthorized user access. This data center technique can be used to detect and avoid data theft attacks by malicious insiders. The anonymous and miss use of data also prevented in a very good manner while compared to other techniques.