Design and Implementation of an IoT Based Greenhouse Monitoring and Controlling System

Abdulkareem, Ademola and Somefun, Tobilola Emmanuel and Mutalub, Adesina Lambe (2024) Design and Implementation of an IoT Based Greenhouse Monitoring and Controlling System. International Journal of Electrical and Computer Engineering, 14 (1). pp. 983-992. ISSN 2088-8708

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Abstract

Since the invention of the internet for military and academic research purposes, it has evolved to meet the demands of the increasing number of users on the network, who have their scope beyond military and academics. As the scope of the network expanded maintaining its security became a matter of increasing importance. With various users and interconnections of more diversified networks, the internet needs to be maintained as securely as possible for the transmission of sensitive information to be one hundred per cent safe; several anomalies may intrude on private networks. Several research works have been released around network security and this research seeks to add to the already existing body of knowledge by expounding on these attacks, proffering efficient measures to detect network intrusions, and introducing an ensemble classifier: a combination of 3 different machine learning algorithms. An ensemble classifier is used for detecting remote to local (R2L) attacks, which showed the lowest level of accuracy when the network dataset is tested using single machine learning models but the ensemble classifier gives an overall efficiency of 99.8%.

Item Type:	Article
Uncontrolled Keywords:	Artificial neural Ensemble classifier Intrusion detection system Machine learning Networks attack
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User:	Patricia Nwokealisi
Date Deposited:	18 Nov 2024 16:19
Last Modified:	18 Nov 2024 16:19
URI:	http://eprints.covenantuniversity.edu.ng/id/eprint/18601

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