Abstract
The rapidly growing number of users in the smartphone market has increased the variety of emergingissues. In particular, smartphones store user private information, thus highly needing securitytechniques 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, whichprevents personal information leakage in Andriod platform with dynamic security level access. Theproposed model analyzes the permission by category of application services and detects new malwaresthrough context ontology inference of API resource information and permission. It is shownthat the psoposed model achives both more precise and practical malware detection.
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