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SCAN:Structural Clustering with Adaptive Thresholds for Intelligent and Robust Android Malware Detection under Concept Drift

Kyoungmin Roh Seungmin Lee Seong-je Cho Youngsup Hwang Dongjae Kim

Computer Modeling in Engineering & Sciences2026，Vol.146Issue(3)：P.1124-1163,40.

Computer Modeling in Engineering & Sciences2026，Vol.146Issue(3)：P.1124-1163,40.DOI:10.32604/cmes.2026.074936

SCAN:Structural Clustering with Adaptive Thresholds for Intelligent and Robust Android Malware Detection under Concept Drift

Kyoungmin Roh ¹Seungmin Lee ²Seong-je Cho ²Youngsup Hwang ³Dongjae Kim⁴

作者信息

1. Department of Cybersecurity,Dankook University,Yong-in,Republic of Korea
2. Department of Software Science,Dankook University,Yong-in,Republic of Korea
3. Division of Computer Science and Engineering,Sunmoon University,Asan,Republic of Korea
4. Department of AI-Based Convergence,Dankook University,Yong-in,Republic of Korea
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摘要

关键词

Android malware detection/concept drift/intelligent hybrid framework/gaussian mixture model(GMM)/class imbalance/adaptive thresholding

分类

信息技术与安全科学

引用本文复制引用

Kyoungmin Roh,Seungmin Lee,Seong-je Cho,Youngsup Hwang,Dongjae Kim..SCAN:Structural Clustering with Adaptive Thresholds for Intelligent and Robust Android Malware Detection under Concept Drift[J].Computer Modeling in Engineering & Sciences,2026,146(3):P.1124-1163,40.

基金项目

supported in part by Basic Science Research Program through the National Research Foundation of Korea(NRF)funded by the Ministry of Science and ICT(No.2021R1A2C2012574) （NRF）

in part by the IITP(Institute of Information&Communications Technology Planning&Evaluation)-ITRC(Information Technology Research Center)grant funded by the Korea government(Ministry of Science and ICT)(IITP-2025-RS-2023-00259967). （Institute of Information&Communications Technology Planning&Evaluation）

Computer Modeling in Engineering & Sciences

ISSN：1526-1492

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