MoLaBSS: Server-specific add-on biometric security layer model to
enhance the usage of biometrics
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 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,” 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 a 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.