Decoding the Secrets of Machine Learning in Malware Classification: A Deep Dive into Datasets, Feature Extraction, and Model Performance
S. Dambra, Y. Han, S. Aonzo, P. Kotzias, A. Vitale, J. Caballero, D. Balzarotti, L. Bilge
In Proc. of the ACM Conference on Computer and Communications Security (CCS), 2023
Android, notify me when it is time to go phishing
A. Ruggia, A. Possemato, A. Merlo, D. Nisi, and S. Aonzo
In Proc. of the 8th IEEE European Symposium on Security and Privacy (EUROS&P), 2023
Humans vs. Machines in Malware Classification S. Aonzo, Y. Han, A. Mantovani, D. Balzarotti
In Proc. of the 32st USENIX Security Symposium (USENIX-Security), 2023
RE-Mind: a First Look Inside the Mind of a Reverse Engineer
A. Mantovani, S. Aonzo, Y. Fratantonio, D. Balzarotti
In Proc. of the 31st USENIX Security Symposium (USENIX-Security), 2022
Trust, But Verify: A Longitudinal Analysis Of Android OEM Compliance and Customization
A. Possemato, S. Aonzo, D. Balzarotti, Y. Fratantonio
In Proc. of the 42nd IEEE Symposium on Security and Privacy (S&P), 2021
Prevalence and impact of low-entropy packing schemes in the malware ecosystem
A. Mantovani, S. Aonzo, X. Ugarte-Pedrero, A. Merlo, D. Balzarotti
In Proc. of the ISOC Network and Distributed System Security (NDSS), 2020
Droids in Disarray: Detecting Frame Confusion in Hybrid Android Apps
D. Caputo, L. Verderame, S. Aonzo, A. Merlo
In Proc. of the IFIP Conference on Data and Applications Security and Privacy (DBSec), 2019
Phishing Attacks on Modern AndroidS. Aonzo, A. Merlo, G. Tavella, Y. Fratantonio
In Proc. of the ACM Conference on Computer and Communications Security (CCS), 2018
Low-Resource Footprint, Data-driven Malware Detection on Android S. Aonzo, A. Merlo, M. Migliardi, L. Oneto, F. Palmieri
IEEE Transaction on Sustainable Computing, Vol. PP, no. 99, pp. 1-1.
