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Improving the accuracy of Search Engine based anti-phishing solutions using lightweight features

机译: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

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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%.
机译:基于搜索引擎(SE)的反网络钓鱼技术的一个缺点是,由于其排名较低,通过网络新启动的真实网站被归类为网络钓鱼网站。这会导致此类方案的真实负利率(TNR)显着降低。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功能来增加TNR,从而提高了准确性。但是,这样的添加削弱了基于SE的技术的重要性,该技术旨在使反网络钓鱼轻量,可客户端实现和高效。在本文中,我们研究了一组轻量级功能,包括https,域名中的数字和Google Safe Browsing(GSB)API检查,以及它们对基于SE的解决方案的结果的影响。本文还反映了对现有基于SE的方案的准确性的最终影响。记录到从假阳性率(FPR)到TNR的总偏移量将近96%,而真实阳性率(TPR)则略微降低了0.1%,因此准确性提高了3.28%。

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