Abstract
With high-paced growth in biometrics, and its easy availability to capture various biometric features, it is emerging as one of the most valuable technologies for multifactor authentication to verify a user’s identity, for data security. Organizations encourage their members to use biometrics, but they are hesitant to use them due to perceived security risks. Because of its low usage rate, many medium and small segment organizations find it unfeasible to deploy robust biometric systems. We propose a server-specific add-on biometric security layer model (MoLaBSS) to enhance confidence in the usage of biometrics. We tested this model via a biometric mobile app, and the survey showed a favorable response of 80%. The innovative mobile app was tested for its usability and got a score of more than 71%. For test tool reliability, we examined the equal error rate (EER) of the app and got a reasonably low score of 6%. The results show good potential of this framework to enhance users’ confidence level in the usage of biometrics. Higher usage rates may make deployment of biometrics more cost-effective for many organizations to decrease their information security risk.
Highlights
With high-paced growth in biometrics, and its easy availability to capture various biometric features, it is emerging as one of the most valuable technologies for multifactor authentication to verify a user’s identity, for data security
The IoT ecosystem is still not entirely trustworthy because it faces many challenges due to the characteristics of cyberspace, where threats from organized intelligence and criminal groups are far more challenging to defeat than individual hacktivists [2]
Thisnovel, app framework usesscalable, a continuous authentication on session ID, which is something flexible, and and we developed amethod mobilebased app framework, Bio-Guard
Summary
With high-paced growth in biometrics, and its easy availability to capture various biometric features, it is emerging as one of the most valuable technologies for multifactor authentication to verify a user’s identity, for data security Organizations encourage their members to use biometrics, but they are hesitant to use them due to perceived security risks. We propose a server-specific add-on biometric security layer model (MoLaBSS) to enhance confidence in the usage of biometrics We tested this model via a biometric mobile app, and the survey showed a favorable response of 80%. Large healthcare companies are encouraging their users to use biometric technologies for user authentication in m-Health (mobile health apps). Because of the low usage rate, many small and medium healthcare companies are not finding it very cost-effective to deploy a very robust multifactor authentication
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