Android mobile malware detection using machine learning: A systematic review

Janaka Senanayake; Harsha Kalutarage; Mhd Omar Al-Kadri

doi:10.3390/electronics10131606

Android mobile malware detection using machine learning: A systematic review

Janaka Senanayake^*, Harsha Kalutarage, Mhd Omar Al-Kadri

^*Corresponding author for this work

Robert Gordon University

Research output: Contribution to journal › Review article › peer-review

92 Citations (SciVal)

Original language	English
Article number	1606
Journal	Electronics (Switzerland)
Volume	10
Issue number	13
DOIs	https://doi.org/10.3390/electronics10131606
Publication status	Published (VoR) - 1 Jul 2021

Funding

Acknowledgments: We thank the Accelerating Higher Education Expansion and Development (AHEAD) grant of Sri Lanka, University of Kelaniya—Sri Lanka and Robert Gordon University— United Kingdom for their support. We thank the Accelerating Higher Education Expansion and Development (AHEAD) grant of Sri Lanka, University of Kelaniya?Sri Lanka and Robert Gordon University? United Kingdom for their support.

Keywords

Android security
Code vulnerability
Machine learning
Malware detection

Access to Document

10.3390/electronics10131606

Cite this

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title = "Android mobile malware detection using machine learning: A systematic review",

keywords = "Android security, Code vulnerability, Machine learning, Malware detection",

author = "Janaka Senanayake and Harsha Kalutarage and Al-Kadri, \{Mhd Omar\}",

note = "Funding Information: Acknowledgments: We thank the Accelerating Higher Education Expansion and Development (AHEAD) grant of Sri Lanka, University of Kelaniya—Sri Lanka and Robert Gordon University— United Kingdom for their support. Funding Information: We thank the Accelerating Higher Education Expansion and Development (AHEAD) grant of Sri Lanka, University of Kelaniya?Sri Lanka and Robert Gordon University? United Kingdom for their support. Publisher Copyright: {\textcopyright} 2021 by the authors. Licensee MDPI, Basel, Switzerland.",

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T2 - A systematic review

AU - Senanayake, Janaka

AU - Kalutarage, Harsha

AU - Al-Kadri, Mhd Omar

N1 - Funding Information: Acknowledgments: We thank the Accelerating Higher Education Expansion and Development (AHEAD) grant of Sri Lanka, University of Kelaniya—Sri Lanka and Robert Gordon University— United Kingdom for their support. Funding Information: We thank the Accelerating Higher Education Expansion and Development (AHEAD) grant of Sri Lanka, University of Kelaniya?Sri Lanka and Robert Gordon University? United Kingdom for their support. Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

PY - 2021/7/1

Y1 - 2021/7/1

KW - Android security

KW - Code vulnerability

KW - Machine learning

KW - Malware detection

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DO - 10.3390/electronics10131606

M3 - Review article

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JO - Electronics (Switzerland)

JF - Electronics (Switzerland)

IS - 13

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ER -

Android mobile malware detection using machine learning: A systematic review

Funding

Keywords

Access to Document

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