A Novel Phishing Detection Method Based on the Combination of Penguin Algorithm and Data Mining

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Malekpour Bejandi Saba; Taghva Mohammad Reza; HANAFIZADEH PAYAM

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Seminar Paper

Paper Information

Seminar: INTERNATIONAL CONFERENCE ON WEB RESEARCH
Year:2020 | Issue:6

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Title

A Novel Phishing Detection Method Based on the Combination of Penguin Algorithm and Data Mining

Author(s)

Malekpour Bejandi Saba | Taghva Mohammad Reza | HANAFIZADEH PAYAM

Keywords

Feature Selection

Machine Learning Methods

Metaheuristic Algorithms

Phishing

Abstract

Recently, facility on the internet access in worldwide has caused many businesses take their activities on the internet affiliate networks. But security threats, such as Phishing attacks, have always threaten these businesses. The multiplicity of web pages features has led to use of Feature Selection methods and their combination with Machine Learning Methods to detect Phishing. In this paper, Penguin metaheuristic algorithm and its performance are investigated to find the optimal response to Phishing detection as the main contribution. Therefore, we propose a combination of Penguin algorithm in Feature Selection phase with artificial neural network in the Phishing detection phase. Also, in order to train and evaluate our proposed method, a dataset with 11055 samples of Phishing and normal websites is used. The results of our proposed method using the implementation in MATLAB software present that with increasing the population size and the number of iterations in penguin optimization algorithm, the average value of the Feature Selection function decreased by 69. 57% and the RMSE index reduced by 24. 56%. Finally, our proposed method shows about 29. 16% lower error in Phishing detection in comparison to multilayer artificial neural network.

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APA: Copy

Malekpour Bejandi, Saba, Taghva, Mohammad Reza, & HANAFIZADEH, PAYAM. (2020). A Novel Phishing Detection Method Based on the Combination of Penguin Algorithm and Data Mining. INTERNATIONAL CONFERENCE ON WEB RESEARCH. SID. https://sid.ir/paper/949273/en

Vancouver: Copy

Malekpour Bejandi Saba, Taghva Mohammad Reza, HANAFIZADEH PAYAM. A Novel Phishing Detection Method Based on the Combination of Penguin Algorithm and Data Mining. 2020. Available from: https://sid.ir/paper/949273/en

IEEE: Copy

Saba Malekpour Bejandi, Mohammad Reza Taghva, and PAYAM HANAFIZADEH, “A Novel Phishing Detection Method Based on the Combination of Penguin Algorithm and Data Mining,” presented at the INTERNATIONAL CONFERENCE ON WEB RESEARCH. 2020, [Online]. Available: https://sid.ir/paper/949273/en

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