Anomalies Detection Using Isolation in Concept-Drifting Data Streams

Anomalies Detection Using Isolation in Concept-Drifting Data Streams

Detecting anomalies in streaming data is an important issue for many application domains, such as cybersecurity, natural disasters, or bank frauds. Different approaches have been designed in order to detect anomalies: statistics-based, isolation-based, clustering-based, etc. In this paper, we presen...

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Bibliographic Details
Main Authors: Maurras Ulbricht Togbe, Yousra Chabchoub, Aliou Boly, Mariam Barry, Raja Chiky, Maroua Bahri
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Computers
Subjects:
anomaly detection
isolation-based
data streams
drift detection
survey
Online Access:https://www.mdpi.com/2073-431X/10/1/13

Internet

https://www.mdpi.com/2073-431X/10/1/13

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