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

66 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

Keywords

Android security
Code vulnerability
Machine learning
Malware detection

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10.3390/electronics10131606

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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.",

year = "2021",

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doi = "10.3390/electronics10131606",

language = "English",

volume = "10",

journal = "Electronics (Switzerland)",

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TY - JOUR

T1 - Android mobile malware detection using machine learning

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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U2 - 10.3390/electronics10131606

DO - 10.3390/electronics10131606

M3 - Review article

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VL - 10

JO - Electronics (Switzerland)

JF - Electronics (Switzerland)

IS - 13

M1 - 1606

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Android mobile malware detection using machine learning: A systematic review

Keywords

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