JOURNAL ARTICLE

Enhancing Cybersecurity Through Comparative Analysis of Deep Learning Models for Anomaly Detection

Keywords:
Anomaly detection Computer science Deep learning Computer security Anomaly (physics) Artificial intelligence

Metrics

1
Cited By
0.84
FWCI (Field Weighted Citation Impact)
0
Refs
0.57
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
Anomaly Detection Techniques and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence

Related Documents

JOURNAL ARTICLE

ENHANCING CYBERSECURITY WITH ADAPTIVE ANOMALY DETECTION SYSTEMS THROUGH MACHINE LEARNING

A.M. JumagaliyevaAinur ShekerbekZh.Zh. KhamitovaMark SvobodaS. Kaldar

Journal:   NEWS OF THE NATIONAL ACADEMY OF SCIENCES OF THE REPUBLIC OF KAZAKHSTAN Year: 2024 Vol: 2 (350)Pages: 177-189
JOURNAL ARTICLE

Enhancing Cybersecurity through Machine Learning: An Exploration of Anomaly Detection

Saffa J. Alwan

Journal:   International Journal of Computer Science and Mobile Computing Year: 2024 Vol: 13 (6)Pages: 27-36
© 2026 ScienceGate Book Chapters — All rights reserved.