Implementation and Validation on Improvements for Dynamic Analysis System to Detect Evasive Mobile Malware
| Author(s) | : | Mijoo Kim, Woong Go, Jun Hyung Park, Heung Youl Youm |
| Institution | : | Security Technology R&D Team 1, Korea Internet & Security Agency |
| Published In | : | Vol. 5, Issue 1 — January 2018 |
| Page No. | : | 877-881 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
As the use of mobile devices such as smart phones and tablets has increased, and with a heavier reliance onthem in everyday life on the rise, the malicious codes targeting mobile devices have been steadily increasing. Aworldwide effort has been directed towards developing technologies to detect and cope with mobile malicious apps.However, malicious apps are also becoming more intelligent and sophisticated to increase survivability by bypassing theexisting analysis means, obfuscating code, detecting the analysis environment (a sandbox, emulator, etc), which is usedto analyze malicious apps, and suspending malicious behavior accordingly. In this paper, we examine the analysisevasive techniques used in malicious mobile apps, and the methods to deal with them. We also implement and verify theimprovement plans for a dynamic analysis system to incapacitate the analysis-evasive behaviors of malicious apps.
Mijoo Kim, Woong Go, Jun Hyung Park, Heung Youl Youm, “Implementation and Validation on Improvements for Dynamic Analysis System to Detect Evasive Mobile Malware”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 1, pp. 877-881, January 2018.
