{"title":"Intrusion Detection Method Based on Sparse Autoencoder","authors":"Yuqi Li, Pan Gao, Zhi-jun Wu","doi":"10.1109/ICCCI51764.2021.9486776","DOIUrl":null,"url":null,"abstract":"In view of the low detection rate and high false alarm rate in the current imbalance of classification in intrusion detection, an intrusion detection algorithm based on sparse autoencoder is proposed. This method uses sparse autoencoder technology to build a classified model to complete the detection of different types of data labels, and to improve the detection effect by adjusting the parameters. The experiment uses the UNSW-NB15 data set to test the algorithm. The experimental results show that the algorithm has a higher detection rate and a lower false positive rate.","PeriodicalId":180004,"journal":{"name":"2021 3rd International Conference on Computer Communication and the Internet (ICCCI)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 3rd International Conference on Computer Communication and the Internet (ICCCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCI51764.2021.9486776","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In view of the low detection rate and high false alarm rate in the current imbalance of classification in intrusion detection, an intrusion detection algorithm based on sparse autoencoder is proposed. This method uses sparse autoencoder technology to build a classified model to complete the detection of different types of data labels, and to improve the detection effect by adjusting the parameters. The experiment uses the UNSW-NB15 data set to test the algorithm. The experimental results show that the algorithm has a higher detection rate and a lower false positive rate.