Leveraging feature subset selection with deer hunting optimizer based deep learning for anomaly detection in secure cloud environment

Cloud computing (CC) was extremely implemented by the application service providers (ASP) and enterprises for reducing either operational or capital expenditures. Services and applications before running on remote data centres can presently be transferred to public or private clouds. This alteration...

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Veröffentlicht in:	Multimedia tools and applications Jg. 83; H. 25; S. 65949 - 65966
Hauptverfasser:	Bai, V. Sujatha, Punithavalli, M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.07.2024 Springer Nature B.V
Schlagworte:	Algorithms Anomalies Application service providers Cloud computing Communications traffic Computer Communication Networks Computer Science Cybersecurity Data base management systems Data Structures and Information Theory Deep learning Expenditures Hunting Intrusion detection systems Machine learning Multimedia Information Systems Performance evaluation Special Purpose and Application-Based Systems Deep learning Cloud computing Feature selection Security Anomaly detection
ISSN:	1573-7721, 1380-7501, 1573-7721
Online-Zugang:	Volltext
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