Threats of Distributed Denial of Service (DDoS) attacks have been increasing day-by-day due to rapid development of computer networks and associated infrastructure, and millions of software applications, large and small, addressing all varieties of tasks. Botnets pose a major threat to network security as they are widely used for many Internet crimes such as DDoS attacks, identity theft, email spamming and click fraud. Botnet based DDoS attacks are catastrophic to the victim network as they can exhaust both network bandwidth and resources of the victim machine. This paper presents a comprehensive overview of DDoS attacks, their causes, types with a taxonomy and technical details of various attack launching tools. A detailed discussion of several botnet architectures, tools developed using botnet architectures and pros and cons analysis are also included. Furthermore, a list of important issues and research challenges is also reported in the paper. Attacker Victim Web Server E-Mail 1553-877X (c)
BackgroundA number of individual risk factors for intimate partner violence (IPV) have been identified in Bangladesh. However, the etiology of IPV, intergenerational transmission, has never been tested in Bangladesh.ObjectiveWe examined whether witnessing inter-parental physical violence (IPPV) was associated with IPV to identify whether IPV passes across generations in Bangladesh.MethodsWe used nationally representative data of currently married women from the Bangladesh Demographic and Health Survey-2007. Variations in experiencing IPV were assessed by Chi-square tests. Logistic regression models were fit to determine the association between witnessing IPPV and different types of IPV against women.ResultsOne-fourth of women witnessed IPPV and experienced IPV. After adjusting for the covariates, women who witnessed IPPV were 2.4 (95% confidence interval [CI]: 2.0–2.8) times more likely to experience any kind of IPV, 2.5 (95% CI: 2.0–3.0) times more likely to experience moderate physical IPV, 2.3 (95% CI: 1.8–3.0) times more likely to experience severe physical IPV, and 1.8 (95% CI: 1.4–2.3) times more likely to experience sexual IPV. Age, age at first marriage, literacy, work status, wealth, justified wife beating, and women's autonomy were also identified as significant correlates of IPV.ConclusionsThis study's results indicate that IPV passes from one generation to another. We make recommendations for preventing IPPV so that subsequent generations can enjoy healthy, respectful, nonviolent relationships in married life without exposure to IPV in Bangladesh.
Feature selection methods have been used in various applications of machine learning, bioinformatics, pattern recognition and network traffic analysis. In high dimensional datasets, due to redundant features and curse of dimensionality, a learning method takes significant amount of time and performance of the model decreases. To overcome these problems, we use feature selection technique to select a subset of relevant and non-redundant features. But, most feature selection methods are unstable in nature, i.e., for different training datasets, a feature selection method selects different subsets of features that yields different classification accuracy. In this paper, we provide an ensemble feature selection method using feature-class and feature-feature mutual information to select an optimal subset of features by combining multiple subsets of features. The method is validated using four classifiers viz., decision trees, random forests, KNN and SVM on fourteen UCI, five gene expression and two network datasets.
Life expectancy has increased considerably throughout the world. In Bangladesh, life expectancy has increased from about 53 years in 1975 to 69 years in 2010. However, it is unknown whether the increase in life expectancy is simultaneously accompanied by an increase in disability-free life expectancy (DFLE). The purpose of the study described in this article was to explore the relationship between life expectancy and DFLE in the Rajshahi District of Bangladesh by examining the relationships between the Active Aging Index (AAI) and DFLE. The study fi ndings suggest that urban, more-educated, elderly males are more active in all aspects of life and have longer DFLE. Females are found to outlive males but are more likely to live a greater part of their remaining life with disability. Positive correlations between the AAI and DFLE suggest that older adults could enjoy more DFLE by involving themselves in active aging activities.
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