Abstract:
The recent years have seen an increase in
identity fraud and accessing online services when
communication devices such as computers, mobile
phones and card based credentials (e.g. credit
cards) are involved. This has prompted most
governments and business organizations to change
the way they do business and manage the user’s
identity information. However Internet users are
vulnerable to identity fraud, which is on the
increase and costing the global economy excessive
amounts. With the advent of wireless technologies,
peer-to-peer communication, GSM networks, it is
becoming more challenging to build systems to
authenticate users more efficiently. Traditional
methods of authenticating a user with passwords
and PIN numbers only are slowly proving
ineffective since these credentials are easy to guess
and steal. This paper proposes a distributed multimodal
authentication system as a solution for
managing digital identity information on most
wireless networks. The proposed system uses
artificial intelligence methods and biometrics to
improve the security and privacy of users and
service providers in a transparent, reliable and
efficient way. The system is implemented using a
technique of information fusion to combine the
user’s credentials for optimum recognition and
authentication.
