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

• 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

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...