Produção Nacional
Artificial Neural Network for Websites Classification with Phishing Characteristics
2018; Scientific Research Publishing; Volume: 07; Issue: 02 Linguagem: Inglês
10.4236/sn.2018.72008
ISSN2169-3323
AutoresRicardo Pinto Ferreira, Andréa Martiniano, Domingos Márcio Rodrigues Napolitano, Márcio Romero, Dacyr Dante de Oliveira Gatto, Edquel Bueno Prado Farias, Renato José Sassi,
Tópico(s)Network Security and Intrusion Detection
ResumoSeveral 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.
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