Insider threat detection using supervised machine learning algorithms Insider threat detection using supervised machine learning algorithms

Insider threats refer to abnormal actions taken by individuals with privileged access, compromising system data’s confidentiality, integrity, and availability. They pose significant cybersecurity risks, leading to substantial losses for several organizations. Detecting insider threats is crucial due...

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Vydáno v:	Telecommunication systems Ročník 87; číslo 4; s. 899 - 915
Hlavní autoři:	Manoharan, Phavithra, Yin, Jiao, Wang, Hua, Zhang, Yanchun, Ye, Wenjie
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.12.2024 Springer Nature B.V
Témata:	Algorithms Artificial Intelligence Availability Business and Management Computer Communication Networks Cybersecurity Datasets IT in Business Machine learning Original Paper Performance evaluation Probability Theory and Stochastic Processes Supervised learning Threat evaluation Insider threat Imbalanced dataset Cybersecurity Supervised learning
ISSN:	1018-4864, 1572-9451
On-line přístup:	Získat plný text
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