April 2023

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IOT Objects Identification Model Using Deep-Neural Network (DNN)

Sana Abdelaziz Bkheet, Johnson I. Agbinya

ABSTRACT: This research paper proposes a novel method for identifying smart devices based on their various attributes with the integrated use of Deep Neural Network (DNN). A dataset consisting of over 90 instances of smart home devices gathered completely from online sources is used. It has been structured in Arff and applied to a Weka platform and then classified with Multilayer Perceptron Networks. The instances were classified into specific groups, which made them easier to identify and distinguish from the rest. The method is also applied on a larger dataset which includes over 100 instances, to ensure its accuracy and validation to be used with various smart devices in different IoT environments.

[ FULL TEXT PDF 1-18 ] DOI: 10.22587/ajbas.2023.17.4.1

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