在线检测和预防网络钓鱼攻击 [英] Online detection and prevention of phishing attacks

问题描述

每个人都了解网络钓鱼，但最近我阅读了有关在线检测和预防网络钓鱼攻击的文章.

这是我发现的

主题:网络钓鱼攻击的在线检测和预防
网络钓鱼是一种新型的网络攻击，攻击者通过创建现有网页的副本来欺骗用户，将用户的个人，财务或密码数据提交给他们认为是其服务提供商网站的网站.该概念是一种基于终端主机的反网络钓鱼算法，称为链接防护，它通过在网络钓鱼攻击中利用超链接的通用特性来实现.链接保护算法是一种概念，用于查找由网络钓鱼者发送的网络钓鱼电子邮件，以掌握最终用户的信息.链接防护基于对网络钓鱼超链接特征的仔细分析.每个最终用户都使用链接保护算法来实现.完成此操作后，最终用户将识别出网络钓鱼电子邮件，并可以避免对此类电子邮件进行响应.由于链接防护是基于特征的，因此它不仅可以检测并阻止已知的网络钓鱼攻击，还可以检测并阻止未知的网络钓鱼攻击.该项目使用Java技术和oracle xe.链接保护器重量轻.

我想将其用于我的学术项目，但没有任何想法
从哪里开始使用哪种语言等等.请帮助

Everyone knows about phishing but I recently I read article on online detection and prevention of phishing attack.

This what I found

Topic: Online detection and prevention of phishing attack
Phishing is a new type of network attack where the attacker creates a replica of an existing web page to fool users in to submitting personal, financial, or password data to what they think is their service provider’s website. The concept is a end-host based anti-phishing algorithm, called the link guard, by utilizing the generic characteristics of the hyperlinks in phishing attacks. The link guard algorithm is the concept for finding the phishing emails sent by the phisher to grasp the information of the end user. Link guard is based on the careful analysis of the characteristics of phishing hyperlinks. Each end user is implemented with link guard algorithm. After doing so the end user recognizes the phishing emails and can avoid responding to such mails. Since link guard is characteristics based it can detect and prevent not only known phishing attacks but also unknown ones. The project uses the java technologies and oracle xe. Link guard is light-weighted.

I would like to implement this for my academic project but don''t have any idea
where to start this which language and so on. please help

推荐答案

您使用已知的语言.基本上，您需要能够解析传入的电子邮件，也许是通过拦截网络上的流量.我希望这是一种情况，例如查找邮件中的链接，这些链接链接到所显示地址的不同地址，并且通常会怀疑其形成方式，这将通过您考虑并遵循的规则进行.写.获取一个Gmail帐户，等待一个月，然后查看垃圾邮件文件夹.您会找到很多示例.

You use the languages you know. Basically you need to be able to parse emails as they come in, perhaps by intercepting the traffic on your network. I would expect that it''s a case of looking for things like links in mails that link to a different address to the one shown, and that are generally suspect in the way they are formed, which would be through rules that you would consider and write. Get a gmail account, wait a month and look through the spam folder. You''ll find plenty of examples.

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