Non-conventional Bio-Cryptic DOST Features for Private Cloud Secure Access Using Machine Learning Algorithms

Abstract

Security issues in cloud computing is always challenging task for the researchers and practitioners. Especially in private cloud security is one of the critical issues to grant access to the remote server. Biometric authentication process will be one of the best solutions to grant access for private cloud server. This paper proposes a novel integrated technique for the secure cloud access by considering Bio-cryptic with DOES features, designated as ‘Bio-Cryptic DOST’ (BCDOST) method. The method is implemented in Matlab and trained with 6000 data samples and tested using 5000 biometric data samples that includes, finger, face, iris and palm biometric features. Overall, 98.7% has obtained on a K-fold cross-validation (k=5), and also the results was compared with the present DOST and 4 different customary strategies. supported the results, it's over that, the proposed methodology performed well with relation to accuracy and computation-time.