Intrusion detection aims to identify malicious behaviors in computers and networks, but common firewalls are difficult to detect unknown intrusion behaviors. Intrusion detection system is mainly developed based on machine learning. Due to the imbalance of intrusion detection related data set, the detection of low-frequency attacks and high-frequency attacks can't be considered at the same time. In order to solve this problem, a multi-layer hybrid intrusion detection model (MLH-IDM) is proposed. The redundancy of the features can be reduced by filtering the features of data set with Pearson correlation coefficient, and the data set can be balanced with the random down sampling technique. The whole detection adopts the method of layered detection. The first layer is to filter the Probe separately by the Naive Bayes (NB) classifier; the second layer uses Naive Bayes classifier to filter DoS and Probe, so as to prevent the first layer from filtering impure; in the third layer, Support Vector Machine (SVM) is used to detect low-frequency attacks U2R and R2L. The simulation experiment based on NSL-KDD data set shows that compared with the benchmark paper, MLH-IDM improves F1 score and recall rate by 1.05% and 3.22%; The detection rates of R2L, Probe and DoS attacks are increased by 2.02%, 9.13% and 1.77%.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A Multi-Layer Hybrid Intrusion Detection Method Based on Nb And SVM


    Beteiligte:
    Wang, Ruimin (Autor:in) / Jiang, Huangwei (Autor:in) / Shi, Guohua (Autor:in)


    Erscheinungsdatum :

    2022-10-12


    Format / Umfang :

    973383 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    MULTI-DEVICE VEHICLE INTRUSION DETECTION

    MOELLER DAVID E / MARAN RAHUL / CHAVAN ADITYA | Europäisches Patentamt | 2021

    Freier Zugriff

    Multi-device vehicle intrusion detection

    MOELLER DAVID E / MARAN RAHUL / CHAVAN ADITYA | Europäisches Patentamt | 2022

    Freier Zugriff

    INTRUSION DETECTION

    MCKENNEY BRUCE / PEARLMAN MARC R / JOHNSON JOSHUA et al. | Europäisches Patentamt | 2023

    Freier Zugriff

    Vehicle intrusion detection system and vehicle intrusion detection method

    KYUNG TAE HO | Europäisches Patentamt | 2017

    Freier Zugriff

    MULTI-SENSOR INTRUSION DETECTION AND VALIDATION

    MOELLER DAVID E / MARAN RAHUL / CHAVAN ADITYA | Europäisches Patentamt | 2021

    Freier Zugriff