A Graph Neural Network Framework for Dynamic Malware Detection Using Api Calls and Lightweight Containers

The growing sophistication of malware poses a persistent challenge to traditional detection systems. To address the limitations of conventional static and dynamic analysis methods, this paper proposes a novel malware detection framework that integrates dynamic behavior monitoring with graph-based le...

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Bibliographic Details

Published in:	2025 5th International Conference on Intelligent Communications and Computing (ICICC) pp. 294 - 301
Main Authors:	Wu, Haoyu, Luan, Dongyu, Zheng, Luxin, Zhou, Xiaoshan, Zhou, Jiajun, Yu, Shanqing, Xuan, Qi
Format:	Conference Proceeding
Language:	English
Published:	IEEE 15.08.2025
Subjects:	Accuracy API Calls Containers Data mining Dynamic Analysis Graph Neural Network Graph neural networks Linux Malware Monitoring Reviews Robustness Semantics
Online Access:	Get full text
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