There has been an increased number of smartphone users in recent years all over the world. In a research released by datareportal, the world population stands at 7.1billion people, and there are about 2.71billion smartphone users, accounting for almost ev
computer science
Description
1. Introduction
There has been an increased number of
smartphone users in recent years all over the world. In a research released by datareportal, the world population stands at
7.1billion people, and there are about 2.71billion smartphone users, accounting
for almost
every third person worldwide owns a smartphone (datareportal, 2019).
Smartphones and tablets have become essential for
accessing social media applications, emails, cloud computing, banking
applications and several other utility applications (Fudong et al., 2014). Users also store essential information such
as pictures, contact numbers, schedules and several other personal information
in smartphones
Along with the increased number of smartphone
users, security and privacy threats come into play, smartphone applications
such as banking applications require a high level of confidentiality. As such,
it is essential to secure data stored on mobile phones (Fudonget al., 2014).
1.1 Problem statement
According to The Telegraph, in 2018, an average smartphone user uses their phone
at least once in every twelve (12) minutes
Unfortunately, most widely used authentication
methods such as PINs, passwords, pattern locks, fingerprint scans require a user
to interact with the phone actively and put in some information or draw
sophisticated patterns on touch screens before a user is authenticated, this is
frustrating for smartphone users authentication (Muhammad
et.al., 2017). Using human behavioural patterns to continuously and
implicitly authenticate mobile phone users using inbuilt mobile phone sensors
addresses most of the issues of authenticating a smartphone with little or no
effort (Muhammad et al., 2017). The
accuracy of biometric authentication increases with the use of more than one
biometrics. Analysing and evaluating mobile phone sensors would enable thorough
research on biometric and contextual data which is suitable for combination for
a multi-biometric transparent and continuous user authentication.
