%0 Journal Article %T Artificial Neural Network for Websites Classification with Phishing Characteristics %A Ricardo Pinto Ferreira %A Andr¨¦a Martiniano %A Domingos Napolitano %A Marcio Romero %A Dacyr Dante De Oliveira Gatto %A Edquel Bueno Prado Farias %A Renato Jos¨¦ Sassi %J Social Networking %P 97-109 %@ 2169-3323 %D 2018 %I Scientific Research Publishing %R 10.4236/sn.2018.72008 %X
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.
%K Artificial Intelligence %K Artificial Neural Network %K Pattern Recognition %K Phishing Characteristics %K Social Engineering %U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=84081