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A Graph-Based Interpretable Framework for Effective Android Malware Detection

Chun-I Fan Sheng-Feng Lu Cheng-Han Shie Ming-Feng Tsai Tomohiro Morikawa Takeshi Takahashi Tao Ban

Computer Modeling in Engineering & Sciences2026，Vol.147Issue(4)：P.1369-1393,25.

Computer Modeling in Engineering & Sciences2026，Vol.147Issue(4)：P.1369-1393,25.DOI:10.32604/cmes.2026.077799

A Graph-Based Interpretable Framework for Effective Android Malware Detection

Chun-I Fan ¹Sheng-Feng Lu ²Cheng-Han Shie ²Ming-Feng Tsai ²Tomohiro Morikawa ³Takeshi Takahashi ⁴Tao Ban⁴

作者信息

1. Department of Computer Science and Engineering,Taiwan Sun Yat-sen University,Kaohsiung,Taiwan,China Information Security Research Center,Taiwan Sun Yat-sen University,Kaohsiung,Taiwan,China
2. Department of Computer Science and Engineering,Taiwan Sun Yat-sen University,Kaohsiung,Taiwan,China
3. Graduate School of Information Science,University of Hyogo,Kobe,Japan
4. Cybersecurity Research Institute,National Institute of Information and Communications Technology,Tokyo,Japan
折叠

摘要

关键词

Android malware detection/graph neural network/explainable artificial intelligence

分类

信息技术与安全科学

引用本文复制引用

Chun-I Fan,Sheng-Feng Lu,Cheng-Han Shie,Ming-Feng Tsai,Tomohiro Morikawa,Takeshi Takahashi,Tao Ban..A Graph-Based Interpretable Framework for Effective Android Malware Detection[J].Computer Modeling in Engineering & Sciences,2026,147(4):P.1369-1393,25.

基金项目

supported in part by the National Science and Technology Council of Taiwan under Grant NSTC 114-2634-F-110-001-MBK （）

in part by the Information Security Research Center at National Sun Yat-sen University,Taiwan （）

This work was also supported in part by the Ministry of Education,Science,Sports,and Culture,Grant-in-Aid for Scientific Research(C)22K12038 （C）

Japan and in part by the Telecommunications Advancement Foundation(TAF)of Japan. （TAF）

Computer Modeling in Engineering & Sciences

ISSN：1526-1492

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