Zhangjie Fu1,2,3,*, Yongjie Ding1, Musaazi Godfrey1
Journal of Cyber Security, Vol.3, No.1, pp. 11-28, 2021, DOI:10.32604/jcs.2021.016632
Abstract Mobile malware occupies a considerable proportion of cyberattacks.
With the update of mobile device operating systems and the development of
software technology, more and more new malware keep appearing. The
emergence of new malware makes the identification accuracy of existing
methods lower and lower. There is an urgent need for more effective malware
detection models. In this paper, we propose a new approach to mobile malware
detection that is able to detect newly-emerged malware instances. Firstly, we
build and train the LSTM-based model on original benign and malware samples
investigated by both static and dynamic analysis techniques. Then, we build… More >
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