DeMalFier: Detection of Malicious web pages using an effective classifier

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Asha Manek, S. and Sumithra, V. and Deepa Shenoy, P. and Chandra Mohan, M. and Venugopal, K.R. and Patnaik, L.M. (2014) DeMalFier: Detection of Malicious web pages using an effective classifier. In: Data Science & Engineering (ICDSE), 2014 International Conference on, 4 December 2014, bangalore.

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Official URL: https://doi.org./10.1109/ICDSE.2014.6974616

Abstract

The web has become an indispensable global platform that glues together daily communication, sharing, trading, collaboration and service delivery. Web users often store and manage critical information that attracts cybercriminals who misuse the web and the internet to exploit vulnerabilities for illegitimate benefits. Malicious web pages are transpiring threatening issue over the internet because

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Malicious Web Pages; Supervised Learning; Pre-Processing Techniques; Web Security; DeMalFier
Subjects: Faculty of Engineering > Computer Science & Information Science Engineering
Divisions: University Visvesvarayya College of Engineering > Department of Computer Science and Information Science Engineering
Depositing User: Ms. Deepa M Kolli
Date Deposited: 19 Oct 2016 06:18
Last Modified: 19 Oct 2016 06:18
URI: http://eprints-bangaloreuniversity.in/id/eprint/6558

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