This research article published by the International Journal of Advanced Computer Science and Applications, Vol. 10, No. 10, 2019
In the current technology advancement, biometric
template provides a dependable solution to the problem of user
verification in an identity control system. The template is saved
in the database during the enrollment and compared with query
information in the verification stage. Serious security and
privacy concerns can arise, if raw, unprotected data template is
saved in the database. An attacker can hack the template
information in the database to gain illicit access. A novel
approach of encryption-decryption algorithm utilizing a design
pattern of Model View Template (MVT) is developed to secure
the biometric data template. The model manages information
logically, the view shows the visualization of the data, and the
template addresses the data migration into pattern object. The
established algorithm is based on the cryptographic module of
the Fernet key instance. The Fernet keys are combined to
generate a multiFernet key to produce two encrypted files (byte
and text file). These files are incorporated with Twilio message
and securely preserved in the database. In the event where an
attacker tries to access the biometric data template in the
database, the system alerts the user and stops the attacker from
unauthorized access, and cross-verify the impersonator based on
the validation of the ownership. Thus, helps inform the users and
the authority of, how secure the individual biometric data
template is, and provided a high level of the security pertaining
the individual data privacy