A Universal Algorithm to Secure Stolen Mobile Devices Using Wi-Fi in Indoors Environments

Abstract

A novel paradigm to detect smartphone physical capture attacks is proposed. Using received signal strength indicator and general system problem solving framework, the paradigm recognizes indoors moving pattern of a phone user. Most existing approaches in detection of physical capture attacks focus on protecting the network not the device. This paradigm concentrates primarily on safeguarding the security and privacy of individual users. An extra security layer, which is similar to the protection offered by biometrics techniques, is added. With this augmented defense, the user can considerably enhance both confidentiality and integrity of her information on the mobile device. At minimum the permanent deletion should thwart illegal access. More effective protections can also be implemented as similar ease. Furthermore, easy to use algorithms have been created to simplify and streamline the pattern generation and selection procedures of traditional general system problem solving framework. Experiments on Android smartphone have proved effectiveness and efficiency of this paradigm.