Abstract
With the rapid development of Android smartphones and the widespread use of mobile Internet as well as the open-source Android system, the mobile terminal malware has been widely spread and became popular. In order to detect malware and prevent the interests of mobile phone users from being infringed, this paper performs a malware detection via both the static and dynamic features generated by a user’s operator behavior, software behavior, and malicious behavior.
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Li, Y., Liu, Y. (2021). Android Malware Detection via Behavior-Based Features. In: WU, C.H., PATNAIK, S., POPENTIU VLÃDICESCU, F., NAKAMATSU, K. (eds) Recent Developments in Intelligent Computing, Communication and Devices. ICCD 2019. Advances in Intelligent Systems and Computing, vol 1185. Springer, Singapore. https://doi.org/10.1007/978-981-15-5887-0_13
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DOI: https://doi.org/10.1007/978-981-15-5887-0_13
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