Lightweight Internet of Things Botnet Detection Using One-Class Classification

• Main Authors: Kainat Malik, Faisal Rehman, Tahir Maqsood, Saad Mustafa, Osman Khalid, Adnan Akhunzada
• Format: Article
• Language: English; English
• 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

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...