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A survey on supervised machine learning in intrusion detection systems for Internet of Things

The Internet of Things (IoT) is expanding exponentially, increasing network traffic flow. This trend causes network security vulnerabilities and draws the attention of cybercriminals. Consequently, an intrusion detection system is designed to identify various network attacks and provide network reso...

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Bibliographic Details
Main Authors: Shakirah, Saidin, Syifak Izhar, Hisham
Format: Conference or Workshop Item
Language:English
English
Published: Institute of Electrical and Electronics Engineers Inc. 2023
Subjects:
QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
Online Access:http://umpir.ump.edu.my/id/eprint/40355/1/A%20survey%20on%20supervised%20machine%20learning%20in%20intrusion.pdf
http://umpir.ump.edu.my/id/eprint/40355/2/A%20survey%20on%20supervised%20machine%20learning%20in%20intrusion%20detection%20systems%20for%20Internet%20of%20Things_ABS.pdf
http://umpir.ump.edu.my/id/eprint/40355/
https://doi.org/10.1109/ICSECS58457.2023.10256275
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http://umpir.ump.edu.my/id/eprint/40355/1/A%20survey%20on%20supervised%20machine%20learning%20in%20intrusion.pdf
http://umpir.ump.edu.my/id/eprint/40355/2/A%20survey%20on%20supervised%20machine%20learning%20in%20intrusion%20detection%20systems%20for%20Internet%20of%20Things_ABS.pdf
http://umpir.ump.edu.my/id/eprint/40355/
https://doi.org/10.1109/ICSECS58457.2023.10256275

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