Context: Environments of uncertainty and instability force organizations to modify their actions. The reason for this change is that the minimum data and information needed to establish the logic of production cannot be obtained. Objective: This study aimed to identify the impacts of the external environment on the logistics strategies of the industrial organizations operating at the Manaus Industrial Pole. Methodology: The method was the survey, which used a research protocol as a guide, and had as its subject five managers of the logistics sector of five medium and large industries operating in the industrial center of Manaus, Brazil, intentionally chosen, whose Data collection was done through semi-structured interviews and the results were generated with the aid of content analysis. Results: The results showed that a) the logistics chain is made up of foreign suppliers and domestic consumers, b) the organizations are managed by professionals with adequate technical and scientific training and solid professional experience in the area, c) the impacts of the external environment are of economic, political, ecological and political-economic natures and d) all were perceived as threats to the logistics strategies of the surveyed industries. Conclusion: The impacts of the external environment caused organizations to reduce their logistics operations. Contribution of the study to the logistics area: the confirmation that turbulent outdoor environments force organizations to reduce their production activities.
O uso inadequado de recursos destinados a melhoria da interatividade e usabilidade das aplicações web tem contribuído para o surgimento de diversos ataques, entre eles, o Cross-Site Scripting (XSS). Este trabalho apresenta o scanner ETSSDetector, uma ferramenta de teste que automaticamente analisa as aplicações web com o objetivo de encontrar vulnerabilidades XSS. O ETSSDetector é capaz de identificar e analisar os pontos de entrada de dados da aplicação e gerar testes de injeção de código específico para cada ponto. Os resultados mostram que o preenchimento correto dos campos de entrada apenas com informações válidas garante uma melhor eficácia dos testes, aumentando a taxa de detecção de ataques XSS.
O metamorfismo e a mutação de código têm sido utilizados com sucesso pelos criadores de malware para gerar códigos obfuscados sem alterar as funcionalidades originais, tornando-os mais difíceis de detectar. Este trabalho apresenta uma abordagem para a identificação de malware metamórfico através extração de características a partir de Grafos de Dependência de Dados, para a construção de um índice de classificação que seja capaz de reconhecer de forma rápida e precisa se um determinado código suspeito pertence à uma família de malware. Os resultados experimentais sobre 3045 amostras de vírus metamórficos apresentam taxas médias de acurácia superiores a maioria dos antivírus comerciais.
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