{"title":"Application and preliminary evaluation of Anontool applied in the anomaly detection module","authors":"P. Bienias, A. Warzyński, G. Kolaczek","doi":"10.1109/WETICE49692.2020.00031","DOIUrl":null,"url":null,"abstract":"The goal of the work is to present a preliminary result of research about trade-off between privacy and utility in network traces. The study is considered in context of anomaly detection module with using neural network. The paper presents work in progress and the preliminary results of the evaluation of a anonymization algorithms of anomaly detection module. The anonymization algorithm has been briefly described and the results of the implemented neural network detection method using anonymized flow has been discussed.","PeriodicalId":114214,"journal":{"name":"2020 IEEE 29th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 29th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WETICE49692.2020.00031","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
The goal of the work is to present a preliminary result of research about trade-off between privacy and utility in network traces. The study is considered in context of anomaly detection module with using neural network. The paper presents work in progress and the preliminary results of the evaluation of a anonymization algorithms of anomaly detection module. The anonymization algorithm has been briefly described and the results of the implemented neural network detection method using anonymized flow has been discussed.