A case study for a secure and robust geo-fencing and access control framework

The growing prevalence of Smartphones and Tablets has introduced new challenges and a heterogeneous hardware and software ecosystem. One of the interesting aspects of this phenomenon is how to control the user owned devices´ access to organization/retail resources. This research focuses on enhancing a proposed indoor geo-fencing and access control framework aiming for retail environments as a case study. We investigate various techniques to improve robustness and security of such a system. The focus of these improvements is to build a system that is able to operate properly in noisy, heterogeneous and less controlled environments where the presence of attackers is a high probability. As a result statistical measures have been introduced that improve the system´s robustness and positioning accuracy along with mechanisms that effectively detect and prevent domain specific attacks.