Data-Driven Android Malware Intelligence: A Survey
作者： Junyang Qiu , Surya Nepal , Wei Luo , Lei Pan , Yonghang Tai
DOI: 10.1007/978-3-030-30619-9_14
关键词:
摘要: Android has dominated the smartphone market and become most popular mobile operating system. This rapidly increasing share of contributed to boom malware in numbers varieties. There exist many techniques which are proposed accurately detect malware, e.g., software engineering-based machine learning (ML)-based techniques. In this paper, our main contributions threefold: We reviewed existing analysis for detection; focused on code based detection under ML frameworks; gave future research challenges directions about analysis.
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