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pro vyhledávání: '"Paul Irolla"'
Autor:
Grégory Chatel, Paul Irolla
Publikováno v:
2019 12th CMI Conference on Cybersecurity and Privacy (CMI).
The Membership Inference Attack (MIA) is the process of determining whether a sample comes from the training dataset (in) of a machine learning model or not (out). This attack makes use of a trained machine learning to expose confidential information
Autor:
Alexandre Dey, Paul Irolla
Publikováno v:
Journal of Computer Virology and Hacking Techniques. 14:245-249
The Drebin dataset (in: NDSS, 2014) is the most supplied academic dataset of Android malware. Therefore it is the most used dataset in research papers on Android malware detection. The research community is using it for evaluation and comparison of t
Autor:
Paul Irolla
Publikováno v:
ICISSP
Finding similarities in a group of sequences often involves studying their common subsequences or their common substrings. In our case, Android malware detection/classification, we study the event sequences coming from the dynamic analysis of applica
Publikováno v:
Sécurité des systèmes d'information.
Les virus et autres codes malveillants recouvrent une realite bien plus complexe qu'il n'y parait. De nombreuses sous-categories existent, avec de nombreuses techniques virales et des risques differents, a connaitre pour une protection et une lutte e
Autor:
Paul Irolla, Eric Filiol
Publikováno v:
ICISSP
Android is the most widely used smartphone OS with 82.8% market share in 2015. It is therefore the most widely targeted system by malware authors. Researchers rely on dynamic analysis to extract malware behaviors and often use emulators to do so. How