Variants of phishing attacks and their detection techniques

G. Jaspher Willsie Kathrine, P. M. Praise, A. Amrutha Rose, Eligious C Kalaivani
{"title":"Variants of phishing attacks and their detection techniques","authors":"G. Jaspher Willsie Kathrine, P. M. Praise, A. Amrutha Rose, Eligious C Kalaivani","doi":"10.1109/ICOEI.2019.8862697","DOIUrl":null,"url":null,"abstract":"Phishing is a treacherous effort to steal private data from users like address, aadhar number, PAN card details, credit/debit card details, bank account details, password for online shopping sites, etc. Pinching or phishing of private information on the web has caused havoc on a majority of users due to the lack of internet security. Phishing attacks make use of fake emails or websites, intended to fool users into revealing personal or financial information by posing as the trusted bank/shopping site. The various types of phishing attacks and the recent approaches to prevent the attacks are discussed. A framework to detect and prevent phishing attacks is also proposed. A combination of supervised and unsupervised machine learning techniques is used to detect known and unknown attacks.","PeriodicalId":212501,"journal":{"name":"2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"153 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOEI.2019.8862697","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 18

Abstract

Phishing is a treacherous effort to steal private data from users like address, aadhar number, PAN card details, credit/debit card details, bank account details, password for online shopping sites, etc. Pinching or phishing of private information on the web has caused havoc on a majority of users due to the lack of internet security. Phishing attacks make use of fake emails or websites, intended to fool users into revealing personal or financial information by posing as the trusted bank/shopping site. The various types of phishing attacks and the recent approaches to prevent the attacks are discussed. A framework to detect and prevent phishing attacks is also proposed. A combination of supervised and unsupervised machine learning techniques is used to detect known and unknown attacks.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
网络钓鱼攻击的变体及其检测技术
网络钓鱼是一种狡猾的手段,窃取用户的私人数据,如地址、身份证号码、PAN卡详细信息、信用卡/借记卡详细信息、银行账户详细信息、在线购物网站密码等。由于缺乏网络安全,网络上私人信息的窃取或网络钓鱼给大多数用户造成了严重破坏。网络钓鱼攻击利用虚假的电子邮件或网站,冒充受信任的银行/购物网站,欺骗用户透露个人或财务信息。讨论了各种类型的网络钓鱼攻击和最新的防止攻击的方法。提出了一个检测和防止网络钓鱼攻击的框架。有监督和无监督机器学习技术的组合用于检测已知和未知的攻击。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Artery and Vein classification for hypertensive retinopathy Biometric Personal Iris Recognition from an Image at Long Distance Iris Recognition Using Visible Wavelength Light Source and Near Infrared Light Source Image Database: A Short Survey□ Brain Computer Interface Based Smart Environment Control IoT Based Smart Gas Management System
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1