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A Machine learning IDS for known and unknown anomalies
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
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In this work an Intrusion Detection System to detect anomalies in networks system entries is presented. It is based on Machine Learning models and is composed of two components. The first component detects known anomalies ...
A learning tool to develop sustainable projects
(Institute of Electrical and Electronics Engineers (IEEE), 2016)
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This paper presents a tool developed to help engineers to design and develop sustainable projects. The tool has been designed to introduce and evaluate the sustainability of engineering projects in general, but here we ...
Analyzing the deployment challenges of beacon stuffing as a discovery enabler in Fog-to-Cloud systems
(Institute of Electrical and Electronics Engineers (IEEE), 2018)
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In order to meet the needs of emerging IoT applications having tight QoS constraints, new computing paradigms have been proposed, bringing computation resources closer to the edge of the network, where IoT resides. One of ...