• Trashank Chouhan
• Devendra Kumar Meda

Machine learning is a branch of artificial intelligence that focuses on developing algorithms. An interconnection between electronic devices through the Internet is known as the Internet of Things. Internet of Things is a connection between devices and it exchanges information between devices. But the main concern lies in the IoT devices which are more prone to cyber attacks like malware attacks, phishing etc. We try to improve the security of industrial intrusion detection system with the help of several methods of machine learning. The accuracy of the system tries to reach 94.27% to 99.97%.

Machine learning, Internet of Things, Intrusion Detection System, Security

"Improve Security of Industrial IoT Intrusion Detection System using Machine Learning : A Comparative Study", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 6, page no.i205-i209, June-2023, Available :http://www.jetir.org/papers/JETIR2306821.pdf

"Improve Security of Industrial IoT Intrusion Detection System using Machine Learning : A Comparative Study", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 6, page no. ppi205-i209, June-2023, Available at : http://www.jetir.org/papers/JETIR2306821.pdf