{"title":"Quantized autoencoder (QAE) intrusion detection system for anomaly detection in resource-constrained IoT devices using RT-IoT2022 dataset","authors":"B. S. Sharmila, Rohini Nagapadma","doi":"10.1186/s42400-023-00178-5","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":36402,"journal":{"name":"Cybersecurity","volume":"84 1","pages":""},"PeriodicalIF":3.9000,"publicationDate":"2023-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cybersecurity","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1186/s42400-023-00178-5","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
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