Discovering anomalies in big data: a review focused on the application of metaheuristics and machine learning techniques

With the increase in available data from computer systems and their security threats, interest in anomaly detection has increased as well in recent years. The need to diagnose faults and cyberattacks has also focused scientific research on the automated classification of outliers in big data, as man...

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Bibliographic Details
Main Authors: Claudia Cavallaro, Vincenzo Cutello, Mario Pavone, Francesco Zito
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-08-01
Series:Frontiers in Big Data
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fdata.2023.1179625/full