id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajst-2553	Yang, Le; Chen, Hua	Research on Network Intrusion Detection Based on an Improved Deep Learning Method	2022	4	.pdf	application/pdf	2432	135	53	Random forest makes judgments and identifies the types of intrusion data to achieve the purpose of intrusion detection. In order to improve the accuracy of network intrusion detection, this paper proposes an intrusion detection model based on deep asymmetric convolutional encoder and Random Forest(RF).	cache/ajst-2553.pdf	txt/ajst-2553.txt