A Secure Mobile App Solution Using Human Behavioral Context and Analytic Hierarchy Process

Abstract Mobile devices have gained popularity worldwide. The mobile device flexibility has encouraged users to turn their mobile devices into primary hubs for storing information. This paper adopts the classical CW-Lite security models as the framework and the human behavioral patterns as the context. The selected behavioral aspects refer to mobile application and mobility, deployed as major characteristics that determine security control decisions. This proposed paper requires the application of human behavioral context on mobile phones. The solution involves the novel use of behavioral aspects to improve the security of mobile phones. Two important scenarios are incorporated: analytic hierarchy process (AHP) mobile application and AHP mobility. The proposed methodology is superior because it can detect the change in the user behavior in comparison with an intruder. The applied intelligent human behavioral context on the CW-Lite model shows the advantages of AHP in detecting the changes in the user behavior and in authenticating the identity of the main user. These advantages ensure reliability and security of the phone.