On building machine learning pipelines for Android malware detection: a procedural survey of practices, challenges and opportunities

no code implementations • 12 Jun 2023 • Masoud Mehrabi Koushki, Ibrahim Abualhaol, Anandharaju Durai Raju, Yang Zhou, Ronnie Salvador Giagone, Huang Shengqiang

In this paper, we address this problem with a review of 42 highly-cited papers, spanning a decade of research (from 2011 to 2021).

Android Malware Detection Dimensionality Reduction +1

A Survey on Cross-Architectural IoT Malware Threat Hunting

no code implementations • 9 Jun 2023 • Anandharaju Durai Raju, Ibrahim Abualhaol, Ronnie Salvador Giagone, Yang Zhou, Shengqiang Huang

In recent years, the increase in non-Windows malware threats had turned the focus of the cybersecurity community.

Malware Detection

Echelon: Two-Tier Malware Detection for Raw Executables to Reduce False Alarms

no code implementations • 4 Jan 2021 • Anandharaju Durai Raju, Ke Wang

Existing malware detection approaches suffer from a simplistic trade-off between false positive rate (FPR) and true positive rate (TPR) due to a single tier classification approach, where the two measures adversely affect one another.

Malware Detection