Affiliations: [a] Computer Science and Engineering, School of Computing, SASTRA Deemed to be University, Thanjavur, India
| [b] Post-Doc Fellow, NIT-Trichy, India
Abstract: A recent trend of the information technology is cloud computing technology where many complex tasks are simplified with increased speed and low cost. However, cloud authentication plays a crucial role once all the data’s are uploaded in the cloud. In this paper, multi-biometric template security based on generation of unique graph is proposed to ensure a safe and secured cloud authentication mechanism. To overcome the vulnerability issues of traditional password and token based authentication methods, in this work, a multi-biometric system is proposed. The left, right fingerprint and palm print multi modal traits are given as input to the system. After preprocessing, all the features are combined to generate a weighted graph called as branching factor graph. In the end, the node and edge values of the branching factor graph will be stored in the cloud database. Experimental study shows that the proposed method achieved a very low equal error rate than the other existing works.
