کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
388462 660926 2011 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An efficient phishing webpage detector
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
An efficient phishing webpage detector
چکیده انگلیسی

Phishing attack is growing significantly each year and is considered as one of the most dangerous threats in the Internet which may cause people to lose confidence in e-commerce. In this paper, we present a heuristic method to determine whether a webpage is a legitimate or a phishing page. This scheme could detect new phishing pages which black list based anti-phishing tools could not. We first convert a web page into 12 features which are well selected based on the existing normal and fishing pages. A training set of web pages including normal and fishing pages are then input for a support vector machine to do training. A testing set is finally fed into the trained model to do the testing. Compared to the existing methods, the experimental results show that the proposed phishing detector can achieve the high accuracy rate with relatively low false positive and low false negative rates.


► A heuristic method is proposed to determine if a webpage is legal.
► The method can detect new phishing pages which feature based tools could not.
► Based on SVM, the proposed method is efficient compared to others.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 38, Issue 10, 15 September 2011, Pages 12018–12027
نویسندگان
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