Intursion detection in Iot networks using feature selection and SVM classificastion
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Tarih
2022
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The 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.
Açıklama
Anahtar Kelimeler
DDoS, IOT, Malware, ML
Kaynak
HORA 2022 - 4th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, Proceedings
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
Sayı
Künye
Al-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.
