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.
| Original language | English |
|---|---|
| Title of host publication | Lecture Notes in Electrical Engineering |
| Pages | 529-540 |
| Number of pages | 12 |
| Volume | 114 LNEE |
| DOIs | |
| Publication status | Published - 2012 Jan 1 |
| 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 |
Publication series
| Name | Lecture Notes in Electrical Engineering |
|---|---|
| Volume | 114 LNEE |
| ISSN (Print) | 18761100 |
| ISSN (Electronic) | 18761119 |
Other
| Other | 3rd International Conference on Computer Science and Its Applications, CSA 2011 and 2011 FTRA World Convergence Conference, WCC 2011 |
|---|---|
| Country | Korea, Republic of |
| City | Jeju |
| Period | 11/12/12 → 11/12/15 |
Fingerprint
Keywords
- Android
- Privacy
- Signature
- Static analysis
ASJC Scopus subject areas
- Industrial and Manufacturing Engineering
Cite this
A study on static analysis model of mobile application for privacy protection. / Kim, Seil; Cho, Jae Ik; Myeong, Hee Won; Lee, Dong Hoon.
Lecture Notes in Electrical Engineering. Vol. 114 LNEE 2012. p. 529-540 (Lecture Notes in Electrical Engineering; Vol. 114 LNEE).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A study on static analysis model of mobile application for privacy protection
AU - Kim, Seil
AU - Cho, Jae Ik
AU - Myeong, Hee Won
AU - Lee, Dong Hoon
PY - 2012/1/1
Y1 - 2012/1/1
N2 - 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.
AB - 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.
KW - Android
KW - Privacy
KW - Signature
KW - Static analysis
UR - http://www.scopus.com/inward/record.url?scp=84255178215&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84255178215&partnerID=8YFLogxK
U2 - 10.1007/978-94-007-2792-2_50
DO - 10.1007/978-94-007-2792-2_50
M3 - Conference contribution
AN - SCOPUS:84255178215
SN - 9789400727915
VL - 114 LNEE
T3 - Lecture Notes in Electrical Engineering
SP - 529
EP - 540
BT - Lecture Notes in Electrical Engineering
ER -