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Network Intrusion Detection Based on Deep Clustering and Contrastive Learning
Network Communication and Information Security | 更新时间：2025-04-10
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    • Network Intrusion Detection Based on Deep Clustering and Contrastive Learning

    • “In the field of network security, experts have proposed a network intrusion detection model based on deep clustering and contrastive learning, which effectively improves the real-time detection and provides a new solution for network security protection.”
    • Software Guide   Vol. 24, Issue 3, Pages: 119-126(2025)

    • DOI：10.11907/rjdk.241257    

      CLC： TP18

    • Received：15 March 2024，

      Published：15 March 2025

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  • GUO Yingying,ZHANG Dongmei,LI Chenglong.Network Intrusion Detection Based on Deep Clustering and Contrastive Learning[J].Software Guide,2025,24(03):119-126. DOI： 10.11907/rjdk.241257.

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