Miftahuddin, Yusup and FATURRAHMAN, MOHAMAD MUQIIT (2022) Penerapan Data Standardization dan Multilayer Perceptron pada Identifikasi Website Phishing. MIND (Multimedia Artificial Intelligent Networking Database) Journal, 7 (2). pp. 113-123. ISSN cetak 2528-0015 dan ISSN elektronik 2528-0902

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Abstract

Phishing websites are one of the main problems in the field of website security. Phishing websites are created by people who are not responsible for taking someone's personal information. Common techniques used in phishing are Uniform Resource Locator (URL) manipulation, website page spoofing, and pop up windows. In 2019, APWG (Anti-Phishing Working Group) detected 162,155 cases of phishing in the world. In this study, conducting experiments by using Data Standardization and Multilayer Perceptron (MLP) methods to detect phishing websites. Experiments were carried out using 2 models, namely model A and B. To see the performance of MLP model, it can be seen using score of accuracy, recall, precision, f1-score and specificity. In addition, it can also be seen using the confusion matrix to see the performance of the MLP model. This research shows that model B is the best model with 95.7% accuracy, 97.3% recall, 94.0% precision, 95.6% f1-score and 97.3% specificity. Keywords: multilayer perceptron, data standardization, website phishing

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