Empirical assessment of machine learning-based malware detectors for Android - Measuring the gap between in-the-lab and in-the-wild validation scenarios.
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%0 Journal Article
%1 journals/ese/AllixBJKST16
%A Allix, Kevin
%A Bissyandé, Tegawendé F.
%A Jérome, Quentin
%A Klein, Jacques
%A State, Radu
%A Traon, Yves Le
%D 2016
%J Empirical Software Engineering
%K
%N 1
%P 183-211
%T Empirical assessment of machine learning-based malware detectors for Android - Measuring the gap between in-the-lab and in-the-wild validation scenarios.
%U http://dblp.uni-trier.de/db/journals/ese/ese21.html#AllixBJKST16
%V 21
@article{journals/ese/AllixBJKST16,
added-at = {2023-12-13T02:09:13.000+0100},
author = {Allix, Kevin and Bissyandé, Tegawendé F. and Jérome, Quentin and Klein, Jacques and State, Radu and Traon, Yves Le},
biburl = {https://www.bibsonomy.org/bibtex/29bcedc8364f9969811a42433a5f4d688/admin},
ee = {https://doi.org/10.1007/s10664-014-9352-6},
interhash = {7b9908e009781f3c2763a314f7fa3710},
intrahash = {9bcedc8364f9969811a42433a5f4d688},
journal = {Empirical Software Engineering},
keywords = {},
number = 1,
pages = {183-211},
timestamp = {2023-12-13T02:09:13.000+0100},
title = {Empirical assessment of machine learning-based malware detectors for Android - Measuring the gap between in-the-lab and in-the-wild validation scenarios.},
url = {http://dblp.uni-trier.de/db/journals/ese/ese21.html#AllixBJKST16},
volume = 21,
year = 2016
}
