Anomaly Detection in Networking Logs Using Unsupervised Autoencoder Learning

Modern cloud-based infrastructures frequently operate across multilayered, multi-OS environments supported by numerous vendors. Diagnosing anomalies in such complex systems is a time-consuming task that often results in inaccurate root cause attribution, harming the credibility of otherwise reliable...

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Vydané v:	ICFAI journal of computer sciences Ročník 19; číslo 3; s. 47 - 60
Hlavný autor:	Bar, Kaushik
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Hyderabad IUP Publications 10.07.2025
Predmet:	Algorithms Anomalies Automation Cloud computing Clustering Complex systems Deep learning Hardware Neural networks Root cause analysis Time series
ISSN:	0973-9904
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