作者: Zhongyuan Qin , Zhongyun Yang , Yuxing Di , Qunfang Zhang , Xinshuai Zhang
DOI: 10.1007/978-3-319-01766-2_125
关键词: Database 、 Android (operating system) 、 Edit distance 、 Instruction sequence 、 Hash function 、 Computer science
摘要: The rapid development of the smartphone brings immense convenience to people. Recently more and developers publish their own applications (or apps) on android markets make profits. so-called repackaged apps emerge by embedding malicious codes or injecting ads into existing then republishing them. In this paper, focusing shortcomings detection system, we propose an efficient scheme based context-triggered piecewise hash (CTPH). We also optimize similarity calculation method (edit distance) filter unnecessary matching process efficient. Experimental results show that there are about 5 % in pre-collected data. proposed improves accuracy has positive significance ecosystem markets.