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,...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2022-08-01
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Series: | Cybersecurity |
Subjects: | |
Online Access: | https://doi.org/10.1186/s42400-022-00119-8 |