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Öğe Intursion detection in Iot networks using feature selection and SVM classificastion(Institute of Electrical and Electronics Engineers Inc., 2022) Hussein Al-Balhawi, Maryam Ali; Cansever, GalipThe 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.












