Multi-model Bio-cryptographic Authentication in Cloud Storage Sharing for Higher Security

To achieve data storage security in cloud, bio cryptography techniques can be used. This study presents Personal identification using fingerprint and Iris biometric technology. Usually unimodal biometric techniques are used. Cloud computing provides many resources, very convenient charged service and minimum cost computing. This leads the cloud computing to become the most dominant computing in the recent years. Even though the cloud provide secured service, it also undergoes with some security problem especially form hackers. The existing unimodal bio cryptography techniques often have limitations such as consciousness to noise, intra class consistency, data aspect and other factors. This research study presents personal identification using fingerprint, iris and cryptographic technologies. Combined biometric technology will secure the data from unauthorized users. The purpose of this study is to study the combination of fingerprint and iris and also to include the cryptographic methods to achieve the higher accuracy and more security. The result of this study can overcome some of the limitations of using single biometric technology. The combination of Finger print and Iris form the key for Blowfish algorithm to store the secured data from unauthorized users in cloud environment.