Abstract
Authentication is the crucial process of verifying and permitting the right user to access cloud services. The cloud service security proves to be fragile by the brute force efforts of hackers. To revamp the durability of authentication process, integrating the security factors has been exhorted. One such factor is the secure key extracted from the authenticated user’s voiceprint. This paper proposes a model for enhancing the signal to noise ratio of the MFCC algorithm to extract the secure key from the user voiceprint. The proposed method is highly rigid against the voice duplication attacks preventing unauthorized user to access by duplicating the authorized user’s voice print.
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