To deal with the security threats faced by naval ship networks, this paper proposes an intrusion detection model, constructs a naval ship networks intrusion detection dataset by combining the business featuresof the naval ship networks, and validates the detection effect of the model. First, combined with the characteristics of the ship's network service, the data characteristics were analyzed. Based on the result of feature analysis, an intrusion detection model based on a deep belief network feature dimensionality reduction method and multi-class support vector machine is proposed. The intrusion detection dataset is constructed by collecting data in a simulated naval ship network. The model is validated based on the collected dataset. The experimental results denote that the proposed intrusion detection model can effectively identify the intrusive behaviors of the naval ship network with an accuracy of 97.15%.


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    Title :

    Research on Intrusion Detection Technology for Naval Ship Networks


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Dong, Jian (editor) / Zhang, Long (editor) / Xu, Wenliang (author) / Yang, Luhui (author)

    Conference:

    International Conference on Internet of Things, Communication and Intelligent Technology ; 2022 ; Changsha, China August 21, 2022 - August 23, 2022



    Publication date :

    2023-04-24


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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