Jie Cheng, Jingchu Wang, Ang Xia, Lu Teng, Jianyi Liu
{"title":"Deep Features Based IDS Alarm False Positive Elimination Algorithm","authors":"Jie Cheng, Jingchu Wang, Ang Xia, Lu Teng, Jianyi Liu","doi":"10.1145/3581807.3581890","DOIUrl":null,"url":null,"abstract":"Aiming at the problem that there are a lot of false alarms in the original alarm log data of IDS, a false alarm elimination algorithm based on deep features is proposed. The algorithm extracts six kinds of deep features by using the relevant features of real alarms, and inputs them into the four-layer neural network to judge the authenticity of alarm logs. The experiments show that this method can quickly and effectively filter out false alarms from a large number of alarm logs.","PeriodicalId":292813,"journal":{"name":"Proceedings of the 2022 11th International Conference on Computing and Pattern Recognition","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2022 11th International Conference on Computing and Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3581807.3581890","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Aiming at the problem that there are a lot of false alarms in the original alarm log data of IDS, a false alarm elimination algorithm based on deep features is proposed. The algorithm extracts six kinds of deep features by using the relevant features of real alarms, and inputs them into the four-layer neural network to judge the authenticity of alarm logs. The experiments show that this method can quickly and effectively filter out false alarms from a large number of alarm logs.