Feasibility of using machine learning to access control in Squid proxy server

Autor:	Kanchana Ihalagedara, Supun Weerasekara, Rajitha Kithuldeniya, Sampath Deegalla
Rok vydání:	2015
Předmět:	business.product_category Multimedia business.industry Computer science Access control computer.file_format computer.software_genre Proxy server World Wide Web Upload ComputingMilieux_COMPUTERSANDEDUCATION Bandwidth (computing) Internet access The Internet Image file formats business computer
Zdroj:	2015 IEEE 10th International Conference on Industrial and Information Systems (ICIIS).
DOI:	10.1109/iciinfs.2015.7399061
Popis:	Fast Internet connectivity and billions of websites have made World Wide Web an attractive place for people to use the Internet in their day-to-day life. Educational institutes provide the Internet access to students mainly for educational purposes. However, most of the time, students are allowed to access any content on the web. Therefore, the full bandwidth is consumed due to access to non-educational content such as streaming non-educational videos and downloading large image files, etc.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::38262e82c5387e5df1da0818d7edb22e https://doi.org/10.1109/iciinfs.2015.7399061 Zobrazit plný text záznamu