Hussein Al-Balhawi, Maryam AliCansever, Galip2022-08-082022-08-082022Al-Balhawi, M. A. H., Cansever, G. (2022). Intursion detection in Iot networks using feature selection and SVM classificastion. In 2022 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), IEEE.9781665468350https://hdl.handle.net/20.500.12939/2815The steady growth in the number of devices connected to the Internet has attracted cyber criminals looking for vulnerabilities in computer networks and systems. The objective of this paper is to develop a model to identify DDoS, Infiltration, Web and Brute force attacks on computer networks, using Machine Learning (ML) techniques, increasing the accuracy, sensitivity, precision and measurement values. -F in relation to existing work.eninfo:eu-repo/semantics/closedAccessDDoSIOTMalwareMLIntursion detection in Iot networks using feature selection and SVM classificastionConference Object2-s2.0-85133958959N/A