id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_dmcovzu62jccrgxrk62safxfcu	Seungjin Lee	Classification of botnet attacks in IoT smart factory using honeypot combined with machine learning	2021	23	.pdf	application/pdf	8629	1101	55	Keywords Smart factory, Machine learning, Honeypot, Botnets detection, IoT Classification of botnet attacks in IoT smart factory using honeypot with machine learning in developing a botnet detection model for IoT smart factories. Figure 3 Taxonomies for botnet detection and security layers of IoT smart factories. Applying machine learning in botnet detection for smart factories can become useful to � One study suggested to apply machine learning to detect botnet in the smart factory Table 2 A comparison of studies in botnet detection using honeypot and/or machine learning approaches for smart factories. IoT botnet attacks to smart factory reported in the previous work studying in network Figure 9 Process design of honeypot combined machine learning model to detect botnet attacks in Classification of botnet attacks in IoT smart factory using honeypot combined with machine learning Classification of botnet attacks in IoT smart factory using honeypot combined with machine learning	./cache/work_dmcovzu62jccrgxrk62safxfcu.pdf	./txt/work_dmcovzu62jccrgxrk62safxfcu.txt