id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-13865	Xu, Hao; Xian, Hequn	SCD: A Detection System for DDoS Attacks based on SAE-CNN Networks	2023	6	.pdf	application/pdf	5161	309	49	In complex real-world network environments, differentiating DDoS attack traffic from normal traffic is a challenging task, making it significant to effectively distinguish between attack types in order to resist DDoS attacks. In this paper, we propose a lightweight framework based on deep learning called SAE-CNN-Detection (SCD), which combines stacked autoencoder network (SAE) and convolutional neural network (CNN) for DDoS attacks detection.	cache/fcis-13865.pdf	txt/fcis-13865.txt