571 citations · 578 across the 5 of their papers we have counts for
Showing 2017 · cs.CRShow all
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cs.CR2017★ 571 cited
Survey of Machine Learning Techniques for Malware Analysis
Daniele Ucci, Leonardo Aniello, Roberto Baldoni
Coping with malware is getting more and more challenging, given their relentless growth in complexity and volume. One of the most common approaches in literature is using machine l…
cs.CR2017★ 1 cited
Android Malware Family Classification Based on Resource Consumption over Time
Luca Massarelli, Leonardo Aniello, Claudio Ciccotelli +3
The vast majority of today's mobile malware targets Android devices. This has pushed the research effort in Android malware analysis in the last years. An important task of malware…