使用轻量级功能提高基于搜索引擎的反网络钓鱼解决方案的准确性

G. Varshney, M. Misra, P. Atrey
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引用次数: 4

摘要

基于搜索引擎(SE)的反钓鱼技术的缺点是,在网络上新推出的真实网站由于排名较低而被归类为钓鱼网站。这导致此类计划的真负率(TNR)显著降低。一些基于SE的技术结合使用其他复杂的反网络钓鱼技术或特性来增加TNR,从而提高准确性。然而,这样的添加削弱了基于SE的技术的重要性,这些技术旨在使反网络钓鱼变得轻量级、客户端可实现且高效。在本文中,我们研究了一组轻量级特性,包括https,域名中的数字和谷歌安全浏览(GSB) API检查,以及它们的加入对基于SE的解决方案的结果的影响。本文还反映了对现有基于SE的方案的精度的最终影响。从假阳性率(False Positive Rate, FPR)到TNR的总偏移量接近96%,而真阳性率(True Positive Rate, TPR)略有下降0.1%,从而提高了3.28%的准确率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving the accuracy of Search Engine based anti-phishing solutions using lightweight features
A drawback of the Search Engine (SE) based anti-phishing technique is that authentic websites that are newly launched over the web are classified as phishing websites due to their low ranking. This causes a noticeable reduction in the True Negative Rate (TNR) of such schemes. Some SE based techniques use other complex anti-phishing techniques or features in combination to increase the TNR which results in higher accuracy. However, such an addition dilutes the importance of SE based techniques, which are intended to make anti-phishing lightweight, client side implementable and efficient. In this paper, we study a set of lightweight features including https, digits in domain name and Google Safe Browsing (GSB) API check, and the effect of their addition to the results of a SE based solution. An eventual effect on the accuracy of the existing SE based schemes is also reflected in this paper. A total shift of nearly 96% from False Positive Rate (FPR) to TNR is recorded with a slight decrease of 0.1% in True Positive Rate (TPR), thus increasing the accuracy by 3.28%.
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