Статья

An Integrated Framework for Detecting Attacks And Security using Software-Defined IOT (Metaverse)

Shweta GoyalGraphic Era Deemed to be University,Department of Electrical Engineering,Dehradun,India,248002Zakhara Abdel Hassan RashidNational University of Science and Technology,College of Technical Engineering,Dhi Qar,Iraq,64001Ali GhobashAlkunooze University College,Computer Engineer Department,Basra,IraqMohammed I. HabelalmateenThe Islamic university,College of technical engineering,Department of computers Techniques engineering,Najaf,IraqAl-Hussain MeassarAl-Farahidi university,Baghdad,IraqDoaa Talib ZaidanKut University College,Electronics Engineering,Department of Laser and Optical,Al Kut,Iraq

2024en

ABI

Аннотация

The Internet of Things (IoT) facilitates connectivity between smart environments such as homes, cities, health systems and the web. The proliferation of IoT devices, with their unique characteristics and security challenges, requires robust security solutions. This study explores the integration of Software-Defined Networking (SDN) with the Internet of Things (IoT) to enhance network management and security. Through a proposed framework incorporating a customized Sensor OpenFlow Switch (SOFS) and security offers based on ML this experiment evaluates effectiveness of different algorithms in detecting attacks across varying numbers of loT nodes. Results show comparable performance among classifiers and highlight the efficiency of decision tree-based algorithms in SD-IoT networks.

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Идентификаторы

DOI: 10.1109/icacite60783.2024.10616939

Цитирования и источники

Цитирований: 3Использованных источников: 0

Показатели — AkademScholar