A Review of Insider Threat Detection: Classification, Machine Learning Techniques, Datasets, Open Challenges, and Recommendations

A Review of Insider Threat Detection: Classification, Machine Learning Techniques, Datasets, Open Challenges, and Recommendations

Insider threat has become a widely accepted issue and one of the major challenges in cybersecurity. This phenomenon indicates that threats require special detection systems, methods, and tools, which entail the ability to facilitate accurate and fast detection of a malicious insider. Several studies...

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Bibliografische gegevens
Hoofdauteurs: Mohammed Nasser Al-Mhiqani, Rabiah Ahmad, Z. Zainal Abidin, Warusia Yassin, Aslinda Hassan, Karrar Hameed Abdulkareem, Nabeel Salih Ali, Zahri Yunos
Formaat: Artikel
Taal:English
Gepubliceerd in: MDPI AG 2020-07-01
Reeks:Applied Sciences
Onderwerpen:
cybersecurity
data exfiltration
insider threats
insider threat detection
machine learning
security
Online toegang:https://www.mdpi.com/2076-3417/10/15/5208

Internet

https://www.mdpi.com/2076-3417/10/15/5208

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