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

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...

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Veröffentlicht in:Research briefs on information & communication technology evolution 2015-01, Vol.1, p.145-154
Hauptverfasser: Junho, Choi, Chang Choi, Htet Myet Lynn, Byeongkyu Ko, Ilsun You, Pankoo Kim
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container_title Research briefs on information & communication technology evolution
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creator Junho, Choi
Chang Choi
Htet Myet Lynn
Byeongkyu Ko
Ilsun You
Pankoo Kim
description 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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title A Design of Access Control Model for Information Leak Detection based on Inference in Smart Device
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