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.
|Title of host publication||Computer Science and Convergence, CSA 2011 and WCC 2011 Proceedings|
|Number of pages||12|
|Publication status||Published - 2012|
|Event||3rd International Conference on Computer Science and Its Applications, CSA 2011 and 2011 FTRA World Convergence Conference, WCC 2011 - Jeju, Korea, Republic of|
Duration: 2011 Dec 12 → 2011 Dec 15
|Name||Lecture Notes in Electrical Engineering|
|Other||3rd International Conference on Computer Science and Its Applications, CSA 2011 and 2011 FTRA World Convergence Conference, WCC 2011|
|Country/Territory||Korea, Republic of|
|Period||11/12/12 → 11/12/15|
Bibliographical noteFunding Information:
This work was supported by the IT R&D program of MKE/KEIT [KI0038421, Develop method and apparatus for diagnosing malicious mobile program and protecting solution].
- Static analysis
ASJC Scopus subject areas
- Industrial and Manufacturing Engineering