A study on static analysis model of mobile application for privacy protection

Abstract

Since mobile application market drastically extended, there have been many problems related to proliferative malicious applications that leak user's private information stored in own smart device. In Korea, government strives to protect smart device users from these problems and to establish legal basis through 'Privacy Act' as a preceding step but studies on analysis models and verification tools for mobile application have not yet much developed. The purpose of this research is to suggest an analysis system to prevent propagation of harmful applications, which compromise the user's personal information, by extracting signatures from malicious code samples detected in Android. Maliciousness of the applications has determined by learning their parsing information on the components such as DEX, Manifest, SO etc. © 2012 Springer Science+Business Media B.V.