A Proposal of the AdaBoost-Based Detection of Phishing Sites
نویسندگان
چکیده
In this paper, we propose an approach which improves the accuracy of detecting phishing sites by employing the AdaBoost algorithm. Although there are heuristics to detect phishing sites, existing anti-phishing tools still do not achieve high accuracy in detection. We hypothesize that the inaccuracy is caused by anti-phishing tools that can not use these heuristics appropriately. Our attempt is to improve accuracy by applying the AdaBoost algorithm, the most typical of the machine learning algorithms. We also evaluate the AdaBoost-based combination method by comparing with CANTINA [1], and almost of all the results show that our proposed method provides higher accuracy to detect phishing sites.
منابع مشابه
An Evaluation of Machine Learning-Based Methods for Detection of Phishing Sites
In this paper, we evaluate the performance of machine learningbased methods for detection of phishing sites. In our previous work [1], we attempted to employ a machine learning technique to improve the detection accuracy. Our preliminary evaluation showed the AdaBoost-based detection method can achieve higher detection accuracy than the traditional detection method. Here, we evaluate the perfor...
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