Measuring Early Detection of Anomalies

Measuring Early Detection of Anomalies

Early detection is a matter of growing importance in multiple domains as network security, health conditions over social network services or weather forecasts related disasters. It is not enough to make a good decision but it also needs to be made on time. In this paper, we define a method to evalua...

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Bibliographic Details
Main Authors: Manuel F. Lopez-Vizcaino, Francisco J. Novoa, Diego Fernandez, Fidel Cacheda
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Early detection
machine learning
time-aware metrics
real-time systems
classification algorithms
network security
Online Access:https://ieeexplore.ieee.org/document/9963563/

Internet

https://ieeexplore.ieee.org/document/9963563/

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