Android malware dataset construction methodology to minimize bias–variance​ tradeoff

Android malware dataset construction methodology to minimize bias–variance​ tradeoff

Recently, research on Android malware categorization and detection is increasingly directed toward proposing different learned models based on various features of Android apps and machine learning algorithms. For the implementation of such modeling, properly constructing a dataset is no less importa...

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Bibliographic Details
Main Authors: Shinho Lee, Wookhyun Jung, Wonrak Lee, Hyung Geun Oh, Eui Tak Kim
Format: Article
Language:English
Published: Elsevier 2022-09-01
Series:ICT Express
Subjects:
Android
Malware
Dataset
Bias
Variance
Underfitting
Online Access:http://www.sciencedirect.com/science/article/pii/S2405959521001351

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http://www.sciencedirect.com/science/article/pii/S2405959521001351

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