Machine-Learning based analysis and classification of Android malware signatures

I Martín, JA Hernández, S de los Santos - Future Generation Computer …, 2019 - Elsevier
Multi-scanner Antivirus (AV) systems are often used for detecting Android malware since the
same piece of software can be checked against multiple different AV engines. However, in …

[HTML][HTML] A Formal Concept Analysis approach to hierarchical description of malware threats

M Ojeda-Hernández, D López-Rodríguez… - Forensic Science …, 2024 - Elsevier
The problem of intelligent malware detection has become increasingly relevant in the
industry, as there has been an explosion in the diversity of threats and attacks that affect not …

Android Malware Family Labeling: Perspectives from the Industry

L Wang, H Wang, T Zhang, H Xu, G Meng… - Proceedings of the 39th …, 2024 - dl.acm.org
Labeling and classifying Android malware is important for identifying new threats, triaging
security incidents, and demystifying evasion techniques. To automate the malware …

[PDF][PDF] Machine-Learning based analysis and classification of Android malware signatures. Future Generation Computer Systems, 97, 295–305.

I Martín, JA Hernández, S de Los Santos - e-archivo.uc3m.es
Multi-scanner Antivirus (AV) systems are often used for detecting Android malware since the
same piece of software can be checked against multiple different AV engines. However, in …