文章基本信息

标题：Artificial Neural Network for Websites Classification with Phishing Characteristics
本地全文：下载
作者：Ricardo Pinto Ferreira ; Andréa Martiniano ; Domingos Napolitano 等
期刊名称：Social Networking
印刷版ISSN：2169-3285
电子版ISSN：2169-3323
出版年度：2018
卷号：07
期号：02
页码：97-109
DOI：10.4236/sn.2018.72008
语种：English
出版社：Scientific Research Publishing
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.
关键词：Artificial Intelligence;Artificial Neural Network;Pattern Recognition;Phishing Characteristics;Social Engineering