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Detecting Cyber Threats in UWF-ZeekDataFall22 Using K-Means Clustering in the Big Data Environment

In an era marked by the rapid growth of the Internet of Things (IoT), network security has become increasingly critical. Traditional Intrusion Detection Systems, particularly signature-based methods, struggle to identify evolving cyber threats such as Advanced Persistent Threats (APTs)and zero-day a...

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Principais autores: Sikha S. Bagui, Germano Correa Silva De Carvalho, Asmi Mishra, Dustin Mink, Subhash C. Bagui, Stephanie Eager
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2025-06-01
coleção:Future Internet
Assuntos:
K-means clustering
cyber threat detection
intrusion detection system
MITRE ATT&CK framework
network security
Acesso em linha:https://www.mdpi.com/1999-5903/17/6/267
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