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ARE ECUADORIAN MILLENNIALS PREPARED AGAINST A CYBERATTACK?
(Universidad Nacional de Chimborazo, 2020)
Análisis de los ciberataques realizados en América LatinaAnalysis of cyber-attacks carried out in Latin America
(Innova Research Journal, 2019)
Analysis of cyber-attacks carried out in Latin AmericaAnálisis de los ciberataques realizados en América Latina
(Universidad Internacional del Ecuador, extensión Guayaquil, 2018)
Eleven years of cyberattacks on Chinese supply chains in an era of cyber warfare, a review and future research agenda
(Cartagena de Indias, 2021-08-10)
Purpose – The contribution of this study aims to twofold: First, it provides an overview of the current state of research on cyberattacks on Chinese supply chains (SCs). Second, it offers a look at the Chinese Government’s ...
A Logic Programming Approach to Predict Enterprise-Targeted Cyberattacks
(Springer Nature Switzerland AG, 2020)
Although cybersecurity research has demonstrated that many of the recent cyberattacks targeting real-world organizations could have been avoided, proactively identifying and systematically understanding when and why those ...
Detecting and locating non-technical losses in modern distribution networks
(2018-01-01)
The recent addition of information and communication technologies in electric power distribution systems has introduced a new class of electricity theft or nontechnical loss. Energy consumption data can be hidden and altered ...
Security in smart objects, a general view at the physical and logical level
(Editorial de la Universidad Tecnica del Norte, 2019)
Estado de arte de publicaciones sobre ciberataques a dispositivos de ciudades inteligentes.
(2022-09)
The term “smart city” is means that by using
technology and devices transform the cities making more liveable,
sustainable and efficient; to give better services to their residents
and become better places to live and ...
Cyberattacks Predictions Workflow using Machine Learning
(Cartagena de Indias, 2021)
This research aims to validate the effectiveness of a machine learning model composed of three classifiers: decision tree, logistic regression, and support vector machines. Through the design of a workflow, we demonstrate ...
BoostedEnML: Efficient Technique for Detecting Cyberattacks in IoT Systems Using Boosted Ensemble Machine Learning
(Multidisciplinary Digital Publishing Institute (MDPI), 2023)