A Risk-Driven Model to Minimize the Effects of Human Factors on Smart Devices

摘要: Human errors exploitation could entail unfavorable consequences to smart device users. Typically, devices provide multiple configurable features, e.g., user authentication settings, network selection, application installation, communication interfaces, etc., which users can configure according their need and convenience. However, untrustworthy features configuration mount severe risks towards the protection integrity of data assets residing on or perform security-sensitive activities devices. Conventional security mechanisms mainly focus preventing monitoring malware, but they do not runtime vulnerabilities assessment while use In this paper, we propose a risk-driven model that determines reliability at by users’ usage patterns. The resource access permissions (e.g., ACCESS_INTERNET ACCESS_NETWORK_STATE) given an requiring higher are revoked in case less reliable open WIFI HOTSPOT) Thus, our dynamically fulfills criteria applications revokes resources permission them, until is set secure level. Consequently, secured against any may surface due human factors.