id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-4842	P Vamsi Naidu	RATE-RAD: A Novel Framework for Robust Anomaly Detection in Network Traffic by Integrating Relational, Adversarial, and Temporal Embedding	2025	20	.pdf	application/pdf	7979	434	42	These studies collectively reinforce the notion that multi-dimensional learning approaches integrating explainability, privacy, adaptability, and scalability will define the next generation of network anomaly detection models. After critically reading and commenting on these twenty-five research papers, several critical advances and innovations in the field can be suggested, making light of the current landscape and challenges in network anomaly detection.	cache/cana-4842.pdf	txt/cana-4842.txt