Characteristics and Measures for Mobile-Masquerader Detection

Abstract

Personal mobile devices, as mobile phones, smartphones, and communicators can be easily lost or stolen. Due to the functional abilities of these devices, their use by an unintended person may result in a severe security incident concerning private or corporate data and services. Organizations develop their security policy and mobilize preventive techniques against unauthorized use. Current solutions, however, are still breakable and there still exists strong need for means to detect user substitution when it happens. A crucial issue in designing such means is to define what measures to monitor. In this paper, an attempt is made to identify suitable characteristics and measures for mobile-user substitution detection. Our approach is based on the idea that aspects of user behavior and environment reflect user's personality in a recognizable way. The paper provides a tentative list of individual behavioral and environmental aspects, along with characteristics and measures to represent them.