Data-Driven Network Analysis for Anomaly Traffic Detection

Data-Driven Network Analysis for Anomaly Traffic Detection

Cybersecurity is a critical issue in today’s internet world. Classical security systems, such as firewalls based on signature detection, cannot detect today’s sophisticated zero-day attacks. Machine learning (ML) based solutions are more attractive for their capabilities of detecting anomaly traffic...

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Bibliographic Details
Main Authors: Shumon Alam, Yasin Alam, Suxia Cui, Cajetan Akujuobi
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Sensors
Subjects:
anomaly detection
intrusion detection
machine learning
datasets
attack model
Online Access:https://www.mdpi.com/1424-8220/23/19/8174

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https://www.mdpi.com/1424-8220/23/19/8174

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