Increasingly sophisticated antivirus (AV) software and the growing amount and complexity of malware demand more processing power from personal computers, specifically from the central processor unit (CPU). This paper conducted performance tests with Clam AntiVirus (ClamAV) and improved its performance through parallel processing on multiple cores using the Open Multi-Processing (OpenMP) library. All the tests used the same dataset constituted of 1.33 GB of data distributed among 2766 files of different sizes. The new parallel version of ClamAV implemented in our work achieved an execution time around 62% lower than the original software version, reaching a speedup of 2.6 times faster. The main contribution of this work is to propose and implement a new version of the ClamAV antivirus using parallel processing with OpenMP, easily portable to a variety of hardware platforms and operating systems.
O objetivo deste trabalho é propor um método de detecção de intrusão por anomalia no tráfego de pacotes de rede aplicando modelos autoregressivos de média móvel com entradas exógenas (Autoregressive Moving Average Exogenous - ARMAX) e autorregressivos com heteroscedasticidade condicional (Generalized Autoregressive Conditional Heteroskedasticity – GARCH). Em termos experimentais, utilizando as bases de tráfego (dataset) disponibilizadas pela DARPA (1999), durante a análise de ataques de negação de serviço synflood e comportamentos de varredura de redes executados por meio de pacotes TCP SYN, o método proposto neste trabalho apresentou probabilidade de detecção de intrusão próxima a 100% e índice de falsos positivos abaixo de 5%.
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