標題: DROIT: Dynamic Alternation of Dual-Level Tainting for Malware Analysis
作者: Wang, Chiwei
Shieh, Shiuhpyng Winston
資訊工程學系
Department of Computer Science
關鍵字: mobile security;malware analysis;taint analysis;information flow tracking;binary translation;Android operating system;Dalvik virtual machine
公開日期: 1-一月-2015
摘要: Taint analysis for Android malware has received much attention in recent research. Existing taint techniques operate either at Java object level or at deeper instruction level. Object-level tracking is suitable for malware written in Java byte-code, but not for native ones. Instruction-level tracking captures the finest data flow. However, it leads to obscure semantic reconstruction and low performance. In this paper, we present DROIT, a taint tracker which dynamically alternates between object-level and instruction-level tracking on demands. DROIT tracks data flow at Java object level in general. When its Dalvik VM exits the byte-code execution, DROIT automatically switches to instruction-level tracking, and vice versa. The trigger-based DROIT can alternate between the two levels in an efficient manner, and can provide dual-level whole image of the data flow, rather than fragments. Tracking at the dual levels also eases the semantic reconstruction significantly. The experiment with Android information-stealing trojans showed that DROIT can handle Java-based malware, those composed in native code, and those alternating between the two levels (e.g., DroidKungFu), respectively.
URI: http://hdl.handle.net/11536/124237
ISSN: 1016-2364
期刊: JOURNAL OF INFORMATION SCIENCE AND ENGINEERING
Volume: 31
起始頁: 111
結束頁: 129
顯示於類別:期刊論文