Difference between revisions of "Template:Article of the week"

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<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig3 Teixeira FutureInternet2018 10-8.png|240px]]</div>
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'''"[[Journal:SCADA system testbed for cybersecurity research using machine learning approach|SCADA system testbed for cybersecurity research using machine learning approach]]"'''
'''"[[Journal:Laboratory testing for coronavirus disease (COVID-19) in suspected human cases|Laboratory testing for coronavirus disease (COVID-19) in suspected human cases]]"'''


This paper presents the development of a [[supervisory control and data acquisition]] (SCADA) system testbed used for [[cybersecurity]] research. The testbed consists of a water storage tank’s control system, which is a stage in the process of water treatment and distribution. Sophisticated cyber-attacks were conducted against the testbed. During the attacks, the network traffic was captured, and features were extracted from the traffic to build a dataset for training and testing different machine learning algorithms. Five traditional machine learning algorithms were trained to detect the attacks: Random Forest, Decision Tree, Logistic Regression, Naïve Bayes, and KNN. Then, the trained machine learning models were built and deployed in the network, where new tests were made using online network traffic. The performance obtained during the training and testing of the machine learning models was compared to the performance obtained during the online deployment of these models in the network. The results show the efficiency of the machine learning models in detecting the attacks in real time. The testbed provides a good understanding of the effects and consequences of attacks on real SCADA environments. ('''[[Journal:Semantics for an integrative and immersive pipeline combining visualization and analysis of molecular data|Full article...]]''')<br />
This document provides interim guidance to [[Laboratory|laboratories]] and stakeholders involved in [[COVID-19]] virus laboratory testing of patients. It is based in part on the interim guidance on laboratory testing for [[Middle East respiratory syndrome]] (MERS) coronavirus. [[Information]] on human [[infection]] with the COVID-19 virus is evolving and the [[World Health Organization]] (WHO) continues to monitor developments and revise recommendations as necessary. This document will be revised as new information becomes available. Feedback is welcome and can be sent to WHElab@who.int. The virus has now been named SARS-CoV-2 by the International Committee of Taxonomy of Viruses (ICTV)(2). This virus can cause the disease named coronavirus disease 2019 (COVID-19). WHO refers to the virus as COVID-19 virus in its current documentation. ('''[[Journal:A security review of local government using NIST CSF: A case study|Full article...]]''')<br />
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Revision as of 15:46, 23 March 2020

Anx1 WHO 2020 2020.5.png

"Laboratory testing for coronavirus disease (COVID-19) in suspected human cases"

This document provides interim guidance to laboratories and stakeholders involved in COVID-19 virus laboratory testing of patients. It is based in part on the interim guidance on laboratory testing for Middle East respiratory syndrome (MERS) coronavirus. Information on human infection with the COVID-19 virus is evolving and the World Health Organization (WHO) continues to monitor developments and revise recommendations as necessary. This document will be revised as new information becomes available. Feedback is welcome and can be sent to WHElab@who.int. The virus has now been named SARS-CoV-2 by the International Committee of Taxonomy of Viruses (ICTV)(2). This virus can cause the disease named coronavirus disease 2019 (COVID-19). WHO refers to the virus as COVID-19 virus in its current documentation. (Full article...)

Recently featured:

One tool to find them all: A case of data integration and querying in a distributed LIMS platform
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