Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Jacobus Philippus Van Deventer"'
Publikováno v:
Information, Vol 12, Iss 10, p 405 (2021)
This research attempts to introduce the production methodology of an anomaly detection dataset using ten desirable requirements. Subsequently, the article presents the produced dataset named UGRansome, created with up-to-date and modern network traff
Externí odkaz:
https://doaj.org/article/f2282855a178400fbe69b7a27909eca4
Publikováno v:
Computer Networks and Inventive Communication Technologies ISBN: 9789811930348
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::798c6f0ed3cdb62df58666f105a220bf
https://doi.org/10.1007/978-981-19-3035-5_41
https://doi.org/10.1007/978-981-19-3035-5_41
Autor:
Mike Nkongolo, Jacobus Philippus Van Deventer, Sydney Mambwe Kasongo, Syeda Rabab Zahra, Joseph Kipongo
Publikováno v:
Electronics; Volume 11; Issue 11; Pages: 1749
This article presents a cloud-based method to classify 0-day attacks from a novel dataset called UGRansome1819. The primary objective of the research is to classify potential unknown threats using Machine Learning (ML) algorithms and cloud services.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9405acafe284686911c7671d9c31f63
Publikováno v:
Aslib Journal of Information Management. 67:203-229
Purpose – Academic authors tend to define terms that meet their own needs. Knowledge Management (KM) is a term that comes to mind and is examined in this study. Lexicographical research identified KM terms used by authors from 1996 to 2006 in acade
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::533998969d28171898d485f9867e02bd
https://doi.org/10.1108/ajim-05-2014-0057
https://doi.org/10.1108/ajim-05-2014-0057