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Artificial Neural Network for Websites Classification with Phishing Characteristics
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作者 Ricardo Pinto Ferreira Andréa Martiniano +4 位作者 Domingos Napolitano Marcio Romero Dacyr Dante De Oliveira Gatto Edquel Bueno Prado Farias Renato José Sassi 《Social Networking》 2018年第2期97-109,共13页
Several threats are propagated by malicious websites largely classified as phishing. Its function is important information for users with the purpose of criminal practice. In summary, phishing is a technique used on t... Several threats are propagated by malicious websites largely classified as phishing. Its function is important information for users with the purpose of criminal practice. In summary, phishing is a technique used on the Internet by criminals for online fraud. The Artificial Neural Networks (ANN) are computational models inspired by the structure of the brain and aim to simu-late human behavior, such as learning, association, generalization and ab-straction when subjected to training. In this paper, an ANN Multilayer Per-ceptron (MLP) type was applied for websites classification with phishing cha-racteristics. The results obtained encourage the application of an ANN-MLP in the classification of websites with phishing characteristics. 展开更多
关键词 Artificial INTELLIGENCE Artificial Neural Network Pattern Recognition PHISHING CHARACTERISTICS SOCIAL Engineering
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