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Authentication Using Voice Recognition and Timestamp OTP

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dc.contributor.advisor Abuzneid, Abdelshakour A.
dc.contributor.author Nomula, Neha
dc.contributor.author Anusha, Komareddy
dc.contributor.author Panuganti, Neha
dc.contributor.author Chitumadugula, Niharika
dc.contributor.author Pusapati, Satya Sai Charan
dc.contributor.author Ranganthan, Srividya
dc.date.accessioned 2017-04-04T14:34:14Z
dc.date.available 2017-04-04T14:34:14Z
dc.date.issued 2017-03-24
dc.identifier.uri https://scholarworks.bridgeport.edu/xmlui/handle/123456789/1879
dc.description.abstract This work is related to providing security using authentication. By looking into other research works, we have found many attacks while logging in a system like phishing attack, brute force attack, etc. We came up with a solution which uses voice biometric as a recognition technique and also adding a time stamp one-time password (TOTP) which will help in providing a better authentication during login. Voice recognition technique uses a Bark frequency scale mapped with the input voice signal and made into spectral analysis with cepstral coefficients which is tough to forge, and adding this with TOTP provides stronger security in today’s Internet of Things (IOT). en_US
dc.language.iso en_US en_US
dc.subject Authentication en_US
dc.subject Security en_US
dc.title Authentication Using Voice Recognition and Timestamp OTP en_US
dc.type Presentation en_US
dc.institute.department School of Engineering en_US
dc.institute.name University of Bridgeport en_US
dc.event.location Bridgeport, CT en_US
dc.event.name Faculty Research Day en_US


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