抽象的

Cloud Privacy Enhancement with Identity Management Using Cost Effective JKG Digital Signature Algorithm

M. Janaki , Dr. M. Ganaga Durga

Currently Cloud computing technology have attracted more and more people to store their private data on third-party servers either for ease of sharing or for cost saving. When people enjoy the advantages of these new technologies and services bring about, their concerns about data security also arise. Naturally, people would like to make their private data only accessible to authorized users. When a user wants to run an application in the cloud, the user is required to provide a digital identity. Just as handwritten signatures or physical thumbprints are commonly used to uniquely identify people for legal proceedings or transactions, so digital signatures are commonly used to identify electronic entities for online transactions. Data encryption using asymmetric keys is an expensive operation directly proportional to the size of the data being encrypted; it potentially doubles the size of the data increasing the processing power and bandwidth required to process and transfers the data which increases the transmission cost. In this paper, we propose a JKG Digital Signature algorithm which is a less expensive than public key encryption to provide security in the cloud. By implementing the Algorithm in MATLAB 7.1 the signed file size is calculated. When it is compared with encrypted file size it is proved that signed file size is less, which in turn decreases the cost requirements. We can implement the proposed algorithm to enhance the privacy in cloud since it provides authentication, integrity and non-repudiation altogether.