JOURNAL ARTICLE

RAMD: registry-based anomaly malware detection using one-class ensemble classifiers

Asghar TajoddinMahdi Abadi

Year: 2019 Journal:   Applied Intelligence Vol: 49 (7)Pages: 2641-2658   Publisher: Springer Science+Business Media
Keywords:
Computer science Malware Machine learning Artificial intelligence Classifier (UML) Cascading classifiers Support vector machine Ensemble learning Data mining Random subspace method Pattern recognition (psychology)

Metrics

34
Cited By
2.96
FWCI (Field Weighted Citation Impact)
70
Refs
0.92
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

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