PharmaGuard:自动识别非法搜索索引的在线药店

Igino Corona, M. Contini, Davide Ariu, G. Giacinto, F. Roli, Michael Lund, Giorgio Marinelli
{"title":"PharmaGuard:自动识别非法搜索索引的在线药店","authors":"Igino Corona, M. Contini, Davide Ariu, G. Giacinto, F. Roli, Michael Lund, Giorgio Marinelli","doi":"10.1109/CYBConf.2015.7175954","DOIUrl":null,"url":null,"abstract":"We present PharmaGuard, a novel system for the automatic discovery of illegal online pharmacies, aimed at assisting law-enforcement toward their early identification, blacklisting and shutdown. Given a previously labelled set of examples, the system is able to learn a profile of (illegal) pharmacies, and then exploit it to discover never-before-seen instances indexed by popular web search engines. Our experiments, performed on webpages found in the wild, indicate that our approach is lightweight, allows for high accuracy and can substantially complement state-of-the-art blacklists. We also present a report on the detected online pharmacies that better highlights the relevance of this threat for Internet users.","PeriodicalId":177233,"journal":{"name":"2015 IEEE 2nd International Conference on Cybernetics (CYBCONF)","volume":"260 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"PharmaGuard: Automatic identification of illegal search-indexed online pharmacies\",\"authors\":\"Igino Corona, M. Contini, Davide Ariu, G. Giacinto, F. Roli, Michael Lund, Giorgio Marinelli\",\"doi\":\"10.1109/CYBConf.2015.7175954\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present PharmaGuard, a novel system for the automatic discovery of illegal online pharmacies, aimed at assisting law-enforcement toward their early identification, blacklisting and shutdown. Given a previously labelled set of examples, the system is able to learn a profile of (illegal) pharmacies, and then exploit it to discover never-before-seen instances indexed by popular web search engines. Our experiments, performed on webpages found in the wild, indicate that our approach is lightweight, allows for high accuracy and can substantially complement state-of-the-art blacklists. We also present a report on the detected online pharmacies that better highlights the relevance of this threat for Internet users.\",\"PeriodicalId\":177233,\"journal\":{\"name\":\"2015 IEEE 2nd International Conference on Cybernetics (CYBCONF)\",\"volume\":\"260 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE 2nd International Conference on Cybernetics (CYBCONF)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CYBConf.2015.7175954\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 2nd International Conference on Cybernetics (CYBCONF)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CYBConf.2015.7175954","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

摘要

我们提出PharmaGuard,一个自动发现非法在线药店的新系统,旨在协助执法部门尽早识别,列入黑名单和关闭。给定一组先前标记的例子,该系统能够学习(非法)药店的概况,然后利用它来发现被流行的网络搜索引擎索引的从未见过的实例。我们在野外找到的网页上进行的实验表明,我们的方法轻量级,准确度高,可以大大补充最先进的黑名单。我们还提供了一份关于检测到的在线药店的报告,该报告更好地强调了这种威胁与互联网用户的相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PharmaGuard: Automatic identification of illegal search-indexed online pharmacies
We present PharmaGuard, a novel system for the automatic discovery of illegal online pharmacies, aimed at assisting law-enforcement toward their early identification, blacklisting and shutdown. Given a previously labelled set of examples, the system is able to learn a profile of (illegal) pharmacies, and then exploit it to discover never-before-seen instances indexed by popular web search engines. Our experiments, performed on webpages found in the wild, indicate that our approach is lightweight, allows for high accuracy and can substantially complement state-of-the-art blacklists. We also present a report on the detected online pharmacies that better highlights the relevance of this threat for Internet users.
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