4 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.CR2021★ 4 cited
Towards an Automated Pipeline for Detecting and Classifying Malware through Machine Learning
Nicola Loi, Claudio Borile, Daniele Ucci
The constant growth in the number of malware - software or code fragment potentially harmful for computers and information networks - and the use of sophisticated evasion and obfus…
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…