Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/22736
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dc.contributor.authorDobreva, Jovanaen_US
dc.contributor.authorPopovska-Mitrovikj, Aleksandraen_US
dc.contributor.authorDimitrova, Vesnaen_US
dc.date.accessioned2022-08-31T13:22:58Z-
dc.date.available2022-08-31T13:22:58Z-
dc.date.issued2021-12-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/22736-
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.titleMalDeWe: New Malware Website Detector Model based on Natural Language Processing using Balanced Dataseten_US
dc.relation.conference2021 International Conference on Computational Science and Computational Intelligence (CSCI)en_US
dc.identifier.doi10.1109/csci54926.2021.00043-
dc.identifier.urlhttp://xplorestaging.ieee.org/ielx7/9798893/9798894/09799038.pdf?arnumber=9799038-
item.grantfulltextnone-
item.fulltextNo Fulltext-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Journal Articles
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