Artificial Neural Network for Websites Classification with Phishing Characteristics  

Artificial Neural Network for Websites Classification with Phishing Characteristics

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作  者:Ricardo Pinto Ferreira Andréa Martiniano Domingos Napolitano Marcio Romero Dacyr Dante De Oliveira Gatto Edquel Bueno Prado Farias Renato José Sassi 

机构地区:[1]Graduate Program in Informaticsand Knowledge Management, Universidade Nove de Julho, Sã o Paulo, Brazil

出  处:《Social Networking》2018年第2期97-109,共13页社交网络(英文)

摘  要: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.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.

关 键 词:Artificial INTELLIGENCE Artificial Neural Network Pattern Recognition PHISHING CHARACTERISTICS SOCIAL Engineering 

分 类 号:TP39[自动化与计算机技术—计算机应用技术]

 

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