Cover Image

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...

Full description

Saved in:
Bibliographic Details
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
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

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

Similar Items