R&D: Enhanced Elliptic Curve Cryptographic Technique for Protecting Sensitive Attributes in Cloud Storage

IEEE Xplore has published, in 2018 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC) proceedings, an article written by M. Sumathi, Department of Computer Science and Engineering, K. Ramakrishnan College of Engineering, Trichy, Tamil Nadu, India, and S. Sangeetha, Department of Computer Applications, National Institute of Technology, Thiruchirappalli, Tamil Nadu, India.

Abstract: “Cloud Computing is a current technology used to store large volume of data with minimal cost. Security is a challenging task of cloud computing. Nowadays, data owners are interested to know about the security level of their data and also transferred their data to another organization for performing different tasks. An existing security technique offered security to complete data with high encryption / decryption time, storage cost and also provides less security to the sensitive attributes without the knowledge of data owner and other organization admin’s. To provide a trade-off between high security and low storage cost. the sensitive attributes are identified from entire data and security is applied to sensitive attributes instead of the complete data. In the proposed method, the security mechanisms are applied to sensitive attributes with the knowledge of data owner’s and inter-organization admin. Hence, security of sensitive attributes is to be increased with minimal storage cost. High security is demanded by Enhanced Elliptic Curve Cryptography (EECC) algorithm. Elliptic Curve Cryptography yields better security through random keys, but true random key generation is a challenging task. EECC algorithm merged the pseudo random key with data owner private key and specific organization admin key. Compared to ECC algorithm EECC offers better security with the knowledge of customer and other organization admin.“