Adversarial Robustness Evaluation for Multi-View Deep Learning Cybersecurity Anomaly Detection

In the evolving cyberthreat landscape, a critical challenge for intrusion detection systems (IDSs) lies in defending against meticulously crafted adversarial attacks. Traditional single-view detection frameworks, constrained by their reliance on limited and unidimensional feature representations, ar...

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Bibliographic Details

Published in:	Future Internet
Main Authors:	Min Li, Yuansong Qiao, Brian Lee
Format:	Article
Language:	English
Published:	MDPI AG 2025-10-01
Subjects:	cybersecurity anomaly detection multi-view fusion adversarial robustness
Online Access:	https://www.mdpi.com/1999-5903/17/10/459