Anti-phishing using Hadoop-framework

Mayura Gavahane, Derick Sequeira, Abhishek Pandey, Anush Shetty
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引用次数: 1

Abstract

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.
使用hadoop框架的反网络钓鱼
网络钓鱼是一种在线进行的活动,目的是窃取在线用户的身份信息,如用户id、密码和信用卡详细信息。不知情的在线用户很容易落入这些钓鱼网页,因为它们与真实网页非常相似。检测和识别虚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耗时且严重依赖于可用的后端数据库。在这个系统中,主要关注的是使用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。这个新系统旨在为用户提供安全的浏览体验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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