1 - 6 of 6 articles
Abstract Only a few studies on CBRN terrorism have ever been conducted empirically. To build on this scant literature, this study draws on a novel dataset—the CBRN Terrorism Dataset (CTD). Binary logistic regression models (1990–2016) were executed on two outcomes to discern the factors...
Abstract Kidnapping activities has become the most recurring organized crime in strategic cities, villages and communities in southeast and south-south Nigeria. It has generated a frenzy-like situation among members of the public. It needs to be known why civil police with its dexterity for...
Abstract The purpose of the study is to identify the prospects and challenges that arise in the application of the current EU legislation in field of personal data protection. Legal historical method and method of legal forecasting used in work made it possible to analyze advantages of modern...
Abstract Over the last decade, the diversified spectrum of hybrid threats forced security agencies around the world to refine the tools used by intelligence analysts in early warning tasks. Thus, in order to anticipate and prevent violent acts, law enforcement analysts from the departments...
Abstract In recent research, very large-scale integration (VLSI) design and its implementation plays a major role. It has been considered as compact and contains additional techniques. However, it undergoes security threats like differential power analysis (DPA) attacks, confidential information...
Abstract This research aims to enhance the accuracy and speed of the intrusion detection process by using the feature selection method to reduce the feature space dimensions that eliminate irrelevant features. Further, we employed ensemble learning in the UNSW-NB15 dataset, by using a classifier...
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