Improved Recognition System for Mobile Transactions in Banking Industries

Abstract

In recent times, mobile banking has emerged as a winner among
various banking services. Security has been the major concern since
present authentication methods in most banking industries do not offer
high level of security. There is always a risk of fraudulent attacks
where criminals hack into people’s private data and steal or damage
their personal resources. Although conventional methods have helped
to reduce the rate of fraud, but this is not enough since cyber criminals
can bypass this approach by installing malware or another harmful
virus on peoples’ devices. In order to avoid this risk, reliable
authentication procedures to improve authentication system to protect
mobile devices and personal investments in banking industries must
be adopted. In this research work, a robust interface that can be used
to process most banking transactions through mobile devices has been
designed with some improved security measures. Several algorithmic
steps were involved in developing this system by studying the
characteristic features of people’s voice for easy detection and
recognition. In order to authorize users into the system, a matching
algorithm has been implemented to confirm account owners before
any transaction can be made. The result recorded in this work
confirms that mobile baking transactions with improved security
measures that can make life difficult for criminals can be achieved.
The developed interfaces are user friendly, fast, reliable and efficient.
If banks can integrate this approach of mobile banking with the
current wireless technology, it would go a long way in solving the
challenges facing our banking industries today.