An efficient method for detecting phishing websites using data mining on web pages

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Baharloo Mahdiyeh; YARI ALIREZA

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Paper Information

Journal: IRANIAN COMMUNICATION AND INFORMATION TECHNOLOGY Year:2020 | Volume:12 | Issue:43-44 Page(s): 27-38

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Title

An efficient method for detecting phishing websites using data mining on web pages

Author(s)

Baharloo Mahdiyeh | YARI ALIREZA | Issue Writer Certificate

Keywords

Internet attackQ1

PhishingQ1

Data MiningQ2

Feature SelectionQ1

Feature ExtractionQ1

Abstract

Phishing is regarded as a kind of Internet attack on the web which aimed to steal the users’ personal information for online stealing. Phishing plays a negative role in reducing the trust among the users in the business network based on the E-commerce framework. therefore, in this research, we tried to detect Phishing websites using Data Mining. The detection of the outstanding features of Phishing is regarded as one of the important prerequisites in designing an accurate detection system. Therefore, in order to detect Phishing features, a list of 30 features suggested by Phishing websites was first prepared. A new idea based on two steps: Feature Selection and Feature Extraction, has been proposed. To evaluate the proposed method, the performance of decision tree J48, random forest, naï ve Bayes methods were evaluated on the reduced features. The results indicated that accuracy of the model created to determine the Phishing websites by using the two-stage feature reduction-based Wrapper and Principal Component Analysis (PCA) algorithm in the random forest method of 96. 58%, which is a desirable outcome compared to other methods.

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APA: Copy

Baharloo, Mahdiyeh, & YARI, ALIREZA. (2020). An efficient method for detecting phishing websites using data mining on web pages. IRANIAN COMMUNICATION AND INFORMATION TECHNOLOGY, 12(43-44 ), 27-38. SID. https://sid.ir/paper/370372/en

Vancouver: Copy

Baharloo Mahdiyeh, YARI ALIREZA. An efficient method for detecting phishing websites using data mining on web pages. IRANIAN COMMUNICATION AND INFORMATION TECHNOLOGY[Internet]. 2020;12(43-44 ):27-38. Available from: https://sid.ir/paper/370372/en

IEEE: Copy

Mahdiyeh Baharloo, and ALIREZA YARI, “An efficient method for detecting phishing websites using data mining on web pages,” IRANIAN COMMUNICATION AND INFORMATION TECHNOLOGY, vol. 12, no. 43-44 , pp. 27–38, 2020, [Online]. Available: https://sid.ir/paper/370372/en

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