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Robust Machine Learning for Malware Detection over Time. (arXiv:2208.04838v1 [cs.CR])
Aug. 10, 2022, 1:20 a.m. | Daniele Angioni, Luca Demetrio, Maura Pintor, Battista Biggio
cs.CR updates on arXiv.org arxiv.org
The presence and persistence of Android malware is an on-going threat that
plagues this information era, and machine learning technologies are now
extensively used to deploy more effective detectors that can block the majority
of these malicious programs. However, these algorithms have not been developed
to pursue the natural evolution of malware, and their performances
significantly degrade over time because of such concept-drift. Currently,
state-of-the-art techniques only focus on detecting the presence of such drift,
or they address it by …
detection machine machine learning malware malware detection
More from arxiv.org / cs.CR updates on arXiv.org
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