Oscar Augusto Diaz Triana

Implementation and Web Deployment of an Anomaly Detection System for IoT Environments Using the CRISP-ML(Q) Methodology

The expansion of the Internet of Things (IoT) has intensified cyber risk in Edge deployments with limited computational resources, where conventional intrusion detection systems are unfeasible. Aiming to reduce this gap, a lightweight anomaly detection system for IoT networks has been designed and implemented, structur...