id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
hij-673	Legowo, Nilo; Bad, Wilyu Mahendra	Outlier Detection in VPN Authentication Logs for Corporate Computer Networks Access using CRISP-DM	2024	17	.pdf	application/pdf	8388	528	54	With this method, the research process becomes more effective in detecting users who access the company's internal network log data, so that the company can detect outlier users earlier and reduce the potential risk of losing company data. Several approaches can be used to detect outlier data, including statistical-based, depth-based, deviation-based, distance-based, density-based, and high-dimensional approaches [7].	cache/hij-673.pdf	txt/hij-673.txt