A Design of Access Control Model for Information Leak Detection based on Inference in Smart Device

Abstract

The rapidly growing number of users in the smartphone market has increased the variety of emerging
issues. In particular, smartphones store user private information, thus highly needing security
techniques because losing data and malicious code may lead to significant monetary damages or lost.
In this paper, we propose an intelligent access control model based on ontology inference, which
prevents personal information leakage in Andriod platform with dynamic security level access. The
proposed model analyzes the permission by category of application services and detects new malwares
through context ontology inference of API resource information and permission. It is shown
that the psoposed model achives both more precise and practical malware detection.