网络钓鱼攻击的变体及其检测技术

G. Jaspher Willsie Kathrine, P. M. Praise, A. Amrutha Rose, Eligious C Kalaivani
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引用次数: 18

摘要

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。
Variants of phishing attacks and their detection techniques
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.
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