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Anti-phishing using Hadoop-framework

机译:使用Hadoop框架进行反网络钓鱼

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摘要

Phishing is an activity that is carried out online inorder to steal the identity of the users online such as their user IDs, passwords and credit card details. Unaware online users easily fall for these phishing web pages because of their high similarities to the real ones. Detecting & Identifying fake websites is a very cumbersome task. Several attributes are needed to be taken into consideration. The existing phishing detection systems are time consuming & heavily rely on the backend database available. In this proposed system, main focus is on retrieving the necessary attributes in real time using Hadoop-MapReduce, which will help us increase both speed & throughput of the system. This new system aims at providing secure browsing experience to the user.
机译:网络钓鱼是一种在线执行的活动,目的是在网上窃取用户的身份,例如其用户ID,密码和信用卡详细信息。由于不知名的在线用户与真实的网络相似度很高,因此很容易陷入这些网络钓鱼网页。检测和识别假网站是一项非常繁琐的任务。需要考虑几个属性。现有的网络钓鱼检测系统非常耗时,并且严重依赖可用的后端数据库。在此提议的系统中,主要重点是使用Hadoop-MapReduce实时检索必要的属性,这将有助于我们提高系统的速度和吞吐量。该新系统旨在为用户提供安全的浏览体验。

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