HGNM: Long-Short Term Flow Graph and Hybrid Graph Neural Network-based Saturation Attack Detection Method

LI Jiasong; CUI Yunhe; SHEN Guowei; GUO Chun; CHEN Yi; JIANG Chaohui

doi:10.19678/j.issn.1000-3428.0069494

Computer Engineering, Volume. 51, Issue 8, 215(2025)

HGNM: Long-Short Term Flow Graph and Hybrid Graph Neural Network-based Saturation Attack Detection Method

LI Jiasong^1,2,3, CUI Yunhe^1,2,3、*, SHEN Guowei^1,2,3, GUO Chun^1,2,3, CHEN Yi^1,2,3, and JIANG Chaohui^1,2,3

¹Engineering Research Center of Ministry of Education for Text Computing and Cognitive Intelligence, School of Computer Science and Technology, Guizhou University, Guiyang 550025, Guizhou, China

²State Key Laboratory of Public Big Data, Guizhou University, Guiyang 550025, Guizhou, China

³Provincial Key Laboratory of Software Engineering and Information Security, Guizhou University, Guiyang 550025, Guizhou, China

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LI Jiasong, CUI Yunhe, SHEN Guowei, GUO Chun, CHEN Yi, JIANG Chaohui. HGNM: Long-Short Term Flow Graph and Hybrid Graph Neural Network-based Saturation Attack Detection Method[J]. Computer Engineering, 2025, 51(8): 215

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Paper Information

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Received: Mar. 6, 2024

Accepted: Aug. 26, 2025

Published Online: Aug. 26, 2025

The Author Email: CUI Yunhe (yhcui@gzu.edu.cn)

DOI:10.19678/j.issn.1000-3428.0069494

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