No abstract

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 simulate human behavior, such as learning, association, generalization and abstraction when subjected to training. In this paper, an ANN Multilayer Perceptron (MLP) type was applied for websites classification with phishing characteristics. The results obtained encourage the application of an ANN-MLP in the classification of websites with phishing characteristics.

Resumo O adensamento populacional de grandes centros urbanos como o da Região Metropolitana de São Paulo leva à verticalização e à formação de condomínios onde o consumo de água não é individualizado e dessa forma dificulta ações de uso racional da água, uma vez que cada morador não tem acesso ao seu consumo. Para atender a essa demanda, as empresas de saneamento têm estruturado programas para individualização do consumo de água. A empresa analisada neste trabalho implementou seu produto de individualização de água, porém ocorreram problemas nos processos comerciais, operacionais e de infraestrutura de Tecnologia da Informação que o envolvem. O objetivo deste trabalho foi, então, propor a reestruturação do produto Medição Individualizada em uma empresa de saneamento básico por meio do uso de framework de Arquitetura Corporativa. Optou-se pelo uso da Arquitetura Corporativa por possibilitar o alinhamento da estratégia com a execução, além de também analisar o negócio, os processos, os sistemas de informação e a infraestrutura de informática. Os resultados obtidos com o uso de framework de Arquitetura Corporativa contribuíram de forma positiva para que a proposta de reestruturação do produto fosse realizada de maneira estruturada por meio da visão global de todas as interfaces.

A container crane has the function of transporting containers from one point to another point. The difficulty of this task lies in the fact that the container is connected to the bridge crane by cables, causing an opening angle while the container is being transported, interfering with the operation at high speeds due to oscillation that occurs at the end point, which could cause accidents. Fuzzy logic (FL) is a mathematical theory that aims to allow the modeling of approximate way of thinking, imitating the human ability to make decisions in uncertain and imprecise environments. The Artificial Neural Networks (ANN) models are made of simple processing units, called artificial neurons, which calculate mathematical functions. The aim of the paper was to present a container crane controller pre-project using an artificial neural network type Multilayer Perceptron (MLP) combined with FL, referred to as Neuro Fuzzy Network (NFN).

The growing development of technology, which has been experienced for several decades, caused the area of Information Technology (IT) to have a significant advance in the corporate world. The expansion of IT to different areas of the company has enabled a greater transmission and storage of information. The arrival of personal computers has also been a greater contributor to an increase in storage of information. Due to that, databases and Information Systems where deployed. The managers began to use the databases for specific business areas, which are called Data Marts (DM). Despite the use of Data Marts, the extracted scenarios did not express the updated information in the way management would require, because there was still a time lag between the occurrence of an event and its absorption by the company, which in fact, meant a delay in moving forward with essential and strategic areas of the business. Minimize this lag became a challenge and a necessity for the competitive business world. At the time, the solution adopted, in order to minimize the time lag between the occurrences and the effective absorption of this information, was called Zero Latency Enterprise (ZLE). The aim of this paper is to examine how real time information can be obtained through the implementation of a ZLE in the DM and how, effectively, it would support the strategic decision-making process in organizations. In order to achieve that, a proposal has been put forward to create a model of DM in ZLE with data obtained from the commercial department of a civil engineering supply company. This analysis reveals significant results, supporting the original idea to develop support for decision making.