Comparison of Classification Algorithms for Detection of Phishing Websites
نویسندگان
چکیده
منابع مشابه
Detection and Prediction of Phishing Websites using Classification Mining Techniques
Phishing is serious web security problem that involves mimicking legitimate websites to deceive online users in order to steal their sensitive information. Phishing can be seen as a typical classification problem in data mining where the classifier is constructed from large number of website’s features.There are high demands on identifying the best set of features that when mined the predictive...
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Phishing is described as the art of emulating a website of a creditable firm intending to grab user’s private information such as usernames, passwords and social security number. Phishing websites comprise a variety of cues within its content-parts as well as browser-based security indicators. Several solutions have been proposed to tackle phishing. Nevertheless, there is no single magic bullet...
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Extended abstract 1- Introduction Wind erosion as an “environmental threat” has caused serious problems in the world. Identifying and evaluating areas affected by wind erosion can be an important tool for managers and planners in the sustainable development of different areas. nowadays there are various methods in the world for zoning lands affected by wind erosion. One of the most important...
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ژورنال
عنوان ژورنال: Informatica
سال: 2020
ISSN: 0868-4952,1822-8844
DOI: 10.15388/20-infor404