Enhancing Phishing E-Mail Classifiers: A Lexical URL Analysis Approach
نویسندگان
چکیده
منابع مشابه
E-Mail Classification for Phishing Defense
We discuss a classification-based approach for filtering phishing messages in an e-mail stream. Upon arrival, various features of every e-mail are extracted. This forms the basis of a classification process which detects potentially harmful phishing messages. We introduce various new features for identifying phishing e-mail and rank established as well as newly introduced features according to ...
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Phishing attacks pose a serious threat to end-users and commercial institutions alike. Majority of the present day phishing attacks employ e-mail as their primary carrier, in order to allure unsuspecting victims to visit the masqueraded website. While the recent defense mechanisms focus on detection by validating the authenticity of the website, very few approaches have been proposed which conc...
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Phishing is a kind of embezzlement that uses social engineering in order to obtain personal information from its victims, aiming to cause losses. In the technical literature only the hit rate of the classifiers is mentioned to justify the effectiveness of the phishing detecting techniques. Aspects such as the accuracy of the classifier results (false positive rate), computational effort and the...
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Seeking sensitive user data in the form of online banking user-id and passwords or credit card information, which may then be used by ‘phishers’ for their own personal gain is the primary objective of the phishing e-mails. With the increase in the online trading activities, there has been a phenomenal increase in the phishing scams which have now started achieving monstrous proportions. This pa...
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We evaluate empirically a scheme for combining classifiers, known as stacked generalization, in the context of anti-spam filtering, a novel cost-sensitive application of text categorization. Unsolicited commercial email, or “spam”, floods mailboxes, causing frustration, wasting bandwidth, and exposing minors to unsuitable content. Using a public corpus, we show that stacking can improve the eff...
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ژورنال
عنوان ژورنال: International Journal for Information Security Research
سال: 2013
ISSN: 2042-4639
DOI: 10.20533/ijisr.2042.4639.2013.0029