Android Malicious Application: Crawling, Analyzing, Detecting
| Author(s) | : | Sungtaek OH, Woong GO, Junhyung Park |
| Institution | : | KISA(Korea Internet & Security Agency) |
| Published In | : | Vol. 5, Issue 1 — January 2018 |
| Page No. | : | 895-902 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
As smartphone are becoming more common, services using smartphones are becoming more pervasive too.Among them, as mobile banking transactions are increasing, payment fraud is also rapidly increasing. These serviceshandle sensitive information, such as users’ personal information and payment information, but as they have severalsecurity vulnerabilities, they are attacked by malicious apps. This paper proposes a method of deriving malicious appdetection signatures based on the behavior information, obtained by analyzing malicious apps collected through severalapplication distribution channels, and these signatures will be used for analysis of variants of malicious apps anddevelopment of rule-based malicious app detection systems.
Sungtaek OH, Woong GO, Junhyung Park, “Android Malicious Application: Crawling, Analyzing, Detecting”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 1, pp. 895-902, January 2018.
