钓鱼:自动过滤电子邮件钓鱼的葡萄牙语数据库

Lucas Scaravelli, Kenzo Ikeizume, R. Nogueira, J. Lochter
{"title":"钓鱼:自动过滤电子邮件钓鱼的葡萄牙语数据库","authors":"Lucas Scaravelli, Kenzo Ikeizume, R. Nogueira, J. Lochter","doi":"10.33965/ciawi2019_201914l014","DOIUrl":null,"url":null,"abstract":"a menor taxa de filtragem incorreta de mensagens fraudulentas como mensagens legítimas.","PeriodicalId":430906,"journal":{"name":"Atas da conferência Ibero-Americana WWW/Internet 2019","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"PHISHING-PT: BASE DE DADOS EM PORTUGUÊS PARA FILTRAGEM AUTOMÁTICA DE PHISHING EM E-MAIL\",\"authors\":\"Lucas Scaravelli, Kenzo Ikeizume, R. Nogueira, J. Lochter\",\"doi\":\"10.33965/ciawi2019_201914l014\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"a menor taxa de filtragem incorreta de mensagens fraudulentas como mensagens legítimas.\",\"PeriodicalId\":430906,\"journal\":{\"name\":\"Atas da conferência Ibero-Americana WWW/Internet 2019\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Atas da conferência Ibero-Americana WWW/Internet 2019\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33965/ciawi2019_201914l014\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Atas da conferência Ibero-Americana WWW/Internet 2019","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33965/ciawi2019_201914l014","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

最低的错误过滤率的欺诈消息作为合法消息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PHISHING-PT: BASE DE DADOS EM PORTUGUÊS PARA FILTRAGEM AUTOMÁTICA DE PHISHING EM E-MAIL
a menor taxa de filtragem incorreta de mensagens fraudulentas como mensagens legítimas.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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:604180095
Book学术官方微信