高级持续威胁样本的合成网络流量数据生成与分类:基于gan和XGBoost的案例研究

{"title":"高级持续威胁样本的合成网络流量数据生成与分类:基于gan和XGBoost的案例研究","authors":"T. J. Anande, M. Leeson","doi":"10.1007/978-3-031-39059-3_1","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":88612,"journal":{"name":"News. Phi Delta Epsilon","volume":"44 1","pages":"1-18"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Synthetic Network Traffic Data Generation and Classification of Advanced Persistent Threat Samples: A Case Study with GANs and XGBoost\",\"authors\":\"T. J. Anande, M. Leeson\",\"doi\":\"10.1007/978-3-031-39059-3_1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":88612,\"journal\":{\"name\":\"News. Phi Delta Epsilon\",\"volume\":\"44 1\",\"pages\":\"1-18\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"News. Phi Delta Epsilon\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/978-3-031-39059-3_1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"News. Phi Delta Epsilon","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/978-3-031-39059-3_1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}