CASTLE: A social framework for collaborative anti-phishing databases

Arash Nourian, Sameer Ishtiaq, Muthucumaru Maheswaran
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引用次数: 23

Abstract

Phishing is a major problem on the Internet. The cornerstone of anti-phishing is detecting whether a given site is good or bad. Most of the approaches for anti-phishing rely on looking up centrally maintained repositories. In this paper, we present a decentralized framework called CASTLE that allows a collaborative approach for anti-phishing services. We implemented a prototype and then tested it on Planet-lab. The experiments indicate the viability of our framework.
CASTLE:协作反网络钓鱼数据库的社会框架
网络钓鱼是互联网上的一个主要问题。反网络钓鱼的基石是检测一个给定的网站是好是坏。大多数反网络钓鱼的方法依赖于查找集中维护的存储库。在本文中,我们提出了一个名为CASTLE的分散框架,它允许反网络钓鱼服务的协作方法。我们实现了一个原型,然后在Planet-lab上进行了测试。实验表明我们的框架是可行的。
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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