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CRGT-SA: an interlaced and spatiotemporal deep learning model for network intrusion detection
Regular Papers | Updated：2025-07-28

    • CRGT-SA: an interlaced and spatiotemporal deep learning model for network intrusion detection

    • CRGT-SA：基于交错式时空深度学习的网络入侵检测模型
    • “In the field of cybersecurity, a novel interlaced and spatiotemporal deep learning model called CRGT-SA has been proposed. This model combines CNN with gated TCN and RNN modules to learn spatiotemporal properties and imports the self-attention mechanism to select significant features, providing solutions to protect the Internet from complicated cyberattacks.”
    • Frontiers of Information Technology & Electronic Engineering   Vol. 26, Issue 7, Pages: 1115-1130(2025)

    • DOI：10.1631/FITEE.2400459    

      CLC：

    • Received：30 May 2024，

      Revised：2024-09-18，

      Published：2025-07

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  • Jue CHEN, Wanxiao LIU, Xihe QIU, et al. CRGT-SA: an interlaced and spatiotemporal deep learning model for network intrusion detection[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(7): 1115-1130. DOI： 10.1631/FITEE.2400459.

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Related Institution

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