Towards a fair comparison and realistic evaluation framework of android malware detectors based on static analysis and machine learning

B Molina-Coronado, U Mori, A Mendiburu… - Computers & …, 2023 - Elsevier
As in other cybersecurity areas, machine learning (ML) techniques have emerged as a
promising solution to detect Android malware. In this sense, many proposals employing a …

AndroMalPack: enhancing the ML-based malware classification by detection and removal of repacked apps for Android systems

H Rafiq, N Aslam, M Aleem, B Issac, RH Randhawa - Scientific Reports, 2022 - nature.com
Due to the widespread usage of Android smartphones in the present era, Android malware
has become a grave security concern. The research community relies on publicly available …

The Impact of Train-Test Leakage on Machine Learning-based Android Malware Detection

G Liu, D Caragea, X Ou, S Roy - arXiv preprint arXiv:2410.19364, 2024 - arxiv.org
When machine learning is used for Android malware detection, an app needs to be
represented in a numerical format for training and testing. We identify a widespread …

[引用][C] Artificial Intelligence-based contributions to the detection of threats against information systems