Yang Zhao, Guangquan Xu, Yao Zhang. HFA-MD: An Efficient Hybrid Features Analysis Based Android Malware Detection Method. In Lei Wang 0005, Tie Qiu, Wenbing Zhao 0001, editors, Quality, Reliability, Security and Robustness in Heterogeneous Systems - 13th International Conference, QShine 2017, Dalian, China, December 16-17, 2017, Proceedings. Volume 234 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, pages 248-257, Springer, 2017. [doi]
@inproceedings{ZhaoXZ17-1,
title = {HFA-MD: An Efficient Hybrid Features Analysis Based Android Malware Detection Method},
author = {Yang Zhao and Guangquan Xu and Yao Zhang},
year = {2017},
doi = {10.1007/978-3-319-78078-8_25},
url = {https://doi.org/10.1007/978-3-319-78078-8_25},
researchr = {https://researchr.org/publication/ZhaoXZ17-1},
cites = {0},
citedby = {0},
pages = {248-257},
booktitle = {Quality, Reliability, Security and Robustness in Heterogeneous Systems - 13th International Conference, QShine 2017, Dalian, China, December 16-17, 2017, Proceedings},
editor = {Lei Wang 0005 and Tie Qiu and Wenbing Zhao 0001},
volume = {234},
series = {Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering},
publisher = {Springer},
isbn = {978-3-319-78078-8},
}