Empirical assessment of machine learning-based malware detectors for Android - Measuring the gap between in-the-lab and in-the-wild validation scenarios - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

Kevin Allix, Tegawendé F. Bissyandé, Quentin Jérome, Jacques Klein, Radu State, Yves Le Traon. Empirical assessment of machine learning-based malware detectors for Android - Measuring the gap between in-the-lab and in-the-wild validation scenarios. Empirical Software Engineering, 21(1):183-211, 2016. [doi]

This author has not been identified. Look up 'Kevin Allix' in GoogleThis author has not been identified. Look up 'Tegawendé F. Bissyandé' in GoogleThis author has not been identified. Look up 'Quentin Jérome' in GoogleThis author has not been identified. Look up 'Jacques Klein' in GoogleThis author has not been identified. Look up 'Radu State' in GoogleThis author has not been identified. It may be one of the following persons:

Yves Le Traon

Look up 'Yves Le Traon' in Google

runs on WebDSL