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

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

Abstract As the smartphone market leader, Android has been a prominent target for malware attacks. The number of malicious applications (apps) identified for it has increased continually over the past decade, creating an immense challenge for all parties involved. For market holders and researchers,...

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Bibliographic Details
Main Authors:	Masoud Mehrabi Koushki, Ibrahim AbuAlhaol, Anandharaju Durai Raju, Yang Zhou, Ronnie Salvador Giagone, Huang Shengqiang
Format:	Article
Language:	English
Published:	SpringerOpen 2022-08-01
Series:	Cybersecurity
Subjects:	Android Machine learning Malware classification Smartphone security Survey Taxonomy
Online Access:	https://doi.org/10.1186/s42400-022-00119-8

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