Application and preliminary evaluation of Anontool applied in the anomaly detection module

P. Bienias, A. Warzyński, G. Kolaczek
{"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.
Anontool在异常检测模块中的应用及初步评价
这项工作的目的是提出一个初步的研究结果在隐私和效用之间的权衡在网络轨迹。在异常检测模块的背景下,利用神经网络进行了研究。本文介绍了一种匿名化异常检测模块算法的研究进展和初步评价结果。简要描述了匿名化算法,并讨论了使用匿名流实现的神经网络检测方法的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信