Riemannian Space-based Mutual Learning for Cyber Attack Detection
Authors: 
Hua Huang, Yansheng Qu, Ming Li, Zihan Liu, Hua Sheng, Lina ZhaoAuthors Info & Claims
Pages 136 - 142
Abstract
With the continuous development of information technology, the popularity of intelligent devices not only provides great convenience to people's life, but also provides prerequisites for cyber attacks. Deep learning-based cyber attack detection methods have rapidly developed with powerful feature representation and extraction capabilities. However, deep learning-based cyber attack detection models built in traditional Euclidean space cannot effectively capture the complex topology in the attack graphs. In order to efficiently model the potential patterns in the cyber attack graph and thus improve the detection accuracy, a cyber attack detection model built in dual curvatured Riemannian spaces with mutual learning (namely RSML) is proposed. Unlike existing methods, RSML migrates the cyber attack detection model in the traditional Euclidean space to a heterogeneous non-Euclidean learning space and uses the large-scale hierarchical and circular graph structure pattern modeling capabilities possessed by the non-Euclidean curvatured Riemannian geometry space to obtain high-quality attack graph representation vectors, thereby improves the cyber attack detection accuracy. Besides, we innovatively introduce the mutual learning to enable mutual knowledge distillation from dual Riemannian spaces and thus promotes the fusion of complex topological structure features in different embedding spaces. The experimental results show that the proposed method can effectively analyze and detect cyber attacks.
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Index Terms
- Riemannian Space-based Mutual Learning for Cyber Attack Detection
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Published In
October 2023
196 pages
ISBN:9798400709456
DOI:10.1145/3635638
Copyright © 2023 ACM.
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Published: 16 January 2024
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- Science and Technology Project of State Grid Shandong Electric Power Company: Research on Key Technologies of Complex Cyberspace Attack Behavior Analysis Based on Object Portrait
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MLMI 2023
MLMI 2023: The 6th International Conference on Machine Learning and Machine Intelligence
October 27 - 29, 2023
Chongqing, China
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