JOURNAL ARTICLE

Unsupervised Anomaly Detection Approach for Cyberattack Identification

Lander Segurola-GilMikel Moreno-MorenoItziar IrigoienAne M. Florez-Tapia

Year: 2024 Journal:   International Journal of Machine Learning and Cybernetics Vol: 15 (11)Pages: 5291-5302   Publisher: Springer Science+Business Media
Keywords:
Computer science Robustness (evolution) Artificial intelligence Anomaly detection Computational intelligence Unsupervised learning Machine learning Naive Bayes classifier Identification (biology) Feature selection The Internet Data mining Pattern recognition (psychology) Support vector machine

Metrics

4
Cited By
3.35
FWCI (Field Weighted Citation Impact)
29
Refs
0.84
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Network Security and Intrusion Detection
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced Malware Detection Techniques
Physical Sciences →  Computer Science →  Signal Processing
Anomaly Detection Techniques and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence

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