Lightweight Internet of Things Botnet Detection Using One-Class Classification

Like smart phones, the recent years have seen an increased usage of internet of things (IoT) technology. IoT devices, being resource constrained due to smaller size, are vulnerable to various security threats. Recently, many distributed denial of service (DDoS) attacks generated with the help of IoT...

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Bibliographic Details

Main Authors:	Kainat Malik, Faisal Rehman, Tahir Maqsood, Saad Mustafa, Osman Khalid, Adnan Akhunzada
Format:	Article
Language:	en en
Published:	MDPI 2022
Subjects:	TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television
Online Access:	https://eprints.ums.edu.my/id/eprint/33793/1/Lightweight%20Internet%20of%20Things%20Botnet%20Detection%20Using%20One-Class%20Classification.pdf https://eprints.ums.edu.my/id/eprint/33793/2/Lightweight%20Internet%20of%20Things%20Botnet%20Detection%20Using%20One-Class%20Classification1.pdf https://eprints.ums.edu.my/id/eprint/33793/ https://www.mdpi.com/1424-8220/22/10/3646 https://doi.org/10.3390/s22103646
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