An Insider Data Leakage Detection Using One-Hot Encoding, Synthetic Minority Oversampling and Machin...
An Insider Data Leakage Detection Using One-Hot Encoding, Synthetic Minority Oversampling and Machine Learning Techniques
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Publisher
Switzerland: MDPI AG
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Language
English
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Publisher
Switzerland: MDPI AG
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Contents
Insider threats are malicious acts that can be carried out by an authorized employee within an organization. Insider threats represent a major cybersecurity challenge for private and public organizations, as an insider attack can cause extensive damage to organization assets much more than external attacks. Most existing approaches in the field of...
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Full title
An Insider Data Leakage Detection Using One-Hot Encoding, Synthetic Minority Oversampling and Machine Learning Techniques
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TN_cdi_doaj_primary_oai_doaj_org_article_1857cc0bca434a7f9846e3b92047e918
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1857cc0bca434a7f9846e3b92047e918
Other Identifiers
ISSN
1099-4300
E-ISSN
1099-4300
DOI
10.3390/e23101258
