Abstract-Attributing the culprit of a cyber-attack is widely considered one of the major technical and policy challenges of cyber-security. The lack of ground truth for an individual responsible for a given attack has limited previous studies. Here, we overcome this limitation by leveraging DEFCON capture-theflag (CTF) exercise data where the actual ground-truth is known. In this work, we use various classification techniques to identify the culprit in a cyberattack and find that deceptive activities account for the majority of misclassified samples. We also explore several heuristics to alleviate some of the misclassification caused by deception.
Background & Objective: More than 20 million infants worldwide, representing 15.5 per cent of all births are born with low birth weight. More than 95 percent of them are born in developing countries. The incidence of low birth weight in developing countries (16.5 per cent) is more than double the incidence in developed regions (7 per cent). In India, nearly 8 million babies are born with a Low Birth Weight every year. In India, we are still struggling to get minimum care facilities for our neonates. The neonatal mortality rate in India is still 5 to 6 times higher compared to that in developed countries. Because of their susceptibility to complications, low birth weight neonates require specialized and expert care during the neonatal period. This study was undertaken to study the role of various morbidities in the mortality of LBW neonates admitted in the N.I.C.U. Material and Methods: The study was conducted in the N.I.C.U. of a Tertiary Health Care Centre, in Department of Pediatrics. 106 neonates with birth weight less than 2500 grams from among the neonates admitted in the NICU were included in the study. Results: There were 48 deaths out of 106 cases studied thus making the mortality rate of 45.28% and the survival rate of 54.72% (58/106 cases). Respiratory distress contributed maximum to mortality, followed by Septicemia/Sepsis. Neonatal Hyperbilirubinemia followed septicemia in prevalence. Among the spectrum of Respiratory distress, Hyaline Membrane Disease (HMD) contributed maximum to mortality.
Abstract-Attributing the culprit of a cyber-attack is widely considered one of the major technical and policy challenges of cyber-security. The lack of ground truth for an individual responsible for a given attack has limited previous studies. Here, we overcome this limitation by leveraging DEFCON capture-theflag (CTF) exercise data where the actual ground-truth is known. In this work, we use various classification techniques to identify the culprit in a cyberattack and find that deceptive activities account for the majority of misclassified samples. We also explore several heuristics to alleviate some of the misclassification caused by deception.
Background & Objective: More than 20 million infants worldwide, representing 15.5 per cent of all births are born with low birth weight. More than 95 percent of them are born in developing countries. The incidence of low birth weight in developing countries (16.5 per cent) is more than double the incidence in developed regions (7 per cent). In India, nearly 8 million babies are born with a Low Birth Weight every year. In India, we are still struggling to get minimum care facilities for our neonates. The neonatal mortality rate in India is still 5 to 6 times higher compared to that in developed countries. Because of their susceptibility to complications, low birth weight neonates require specialized and expert care during the neonatal period. This study was undertaken to study the role of various morbidities in the mortality of LBW neonates admitted in the N.I.C.U. Material and Methods: The study was conducted in the N.I.C.U. of a Tertiary Health Care Centre, in Department of Pediatrics. 106 neonates with birth weight less than 2500 grams from among the neonates admitted in the NICU were included in the study. Results: There were 48 deaths out of 106 cases studied thus making the mortality rate of 45.28% and the survival rate of 54.72% (58/106 cases). Respiratory distress contributed maximum to mortality, followed by Septicemia/Sepsis. Neonatal Hyperbilirubinemia followed septicemia in prevalence. Among the spectrum of Respiratory distress, Hyaline Membrane Disease (HMD) contributed maximum to mortality.
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