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22 May 2023 Research and implementation of Android fraud software detection technology based on machine learning
Yuguo Shen
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Proceedings Volume 12640, International Conference on Internet of Things and Machine Learning (IoTML 2022); 126401K (2023) https://doi.org/10.1117/12.2673536
Event: International Conference on Internet of Things and Machine Learning (IoTML 2022), 2022, Harbin, China
Abstract
People's daily lives are getting more and more entangled with the Internet as technology advances and the level of living rises. The diversity of mobile Internet applications has also attracted some unscrupulous elements to use counterfeit APPs, fraud-related APPs, gambling-related APPs, and other forms to obtain ill-gotten gains, and users have suffered huge economic losses as a result. To solve the current problems, it is especially important to extract APKs quickly for such APPs and the subsequent related analysis of APKs through relevant tools and determine whether they are involved in fraud. In this paper, we propose a dynamic and static method combining unknown APK download links, running screenshots, and text data to detect whether unknown APKs are involved in fraud and to classify fraudulent APKs in detail.
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Yuguo Shen "Research and implementation of Android fraud software detection technology based on machine learning", Proc. SPIE 12640, International Conference on Internet of Things and Machine Learning (IoTML 2022), 126401K (22 May 2023); https://doi.org/10.1117/12.2673536
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KEYWORDS
Data modeling
Education and training
Statistical modeling
Image classification
Machine learning
Binary data
Feature extraction
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