OPTIMAL FEATURE SELECTION BASED ON OCS FOR IMPROVED MALWARE DETECTION IN IOT NETWORKS USING AN ENSEMBLE CLASSIFIER

Optimal feature selection based on OCS for improved malware detection in IoT networks using an ensemble classifier

The increasing amount of IoT devices increases the size of network traffic data, causing an increase in the incidence of security breaches in IoT networks.Cybercriminals have developed malware Drinking Bottles to compromise the security of sensitive data, among other cyber threats.In the presence of inadequate and robust security mechanisms, sensit

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Using the Bologna Score to assess normal delivery healthcare

Abstract OBJECTIVE Describing the obstetric care provided in public maternity hospitals during normal labour using the Bologna Score in the city of Natal, Northeastern Brazil.METHOD A quantitative cross-sectional study conducted with HERBATINT FF3 314 puerperal women.Data collection was carried out consecutively during the months of March to July 2

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