Title | Research of Android APP based on dynamic and static analysis Sensitive behavior detection |
Publication Type | Conference Paper |
Year of Publication | 2021 |
Authors | Minyan, Ma, Yingying, Ji, Li, Pengxiao |
Conference Name | 2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) |
Keywords | Android app, Automated Response Actions, automatic analysis, composability, Computers, Conferences, data privacy, Dynamic and static detection, image processing, pubcrawl, resilience, Resiliency, Runtime, static analysis, telecommunication traffic |
Abstract | For a long time, there have been a number of malicious APP discovery and detection services in the Android security field. There are multiple and multiple sensitive actions in most malicious apps. This paper is based on the research of dynamic and static detection technology to analyze the sensitive behaviors in APP, combined with automated testing technology to achieve automated detection, which can improve the detection efficiency and accuracy of malicious APP. |
DOI | 10.1109/IPEC51340.2021.9421131 |
Citation Key | minyan_research_2021 |