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Author

Yanxia Sun

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Open access Aug 2026

Reliability auditing of explanations for machine-learning-based intrusion detection systems

Machine-learning-based intrusion detection systems can learn nonlinear and interaction-based traffic patterns that are difficult to capture using static rules, but their predictions remain difficult to interpret reliably in analyst-facing cybersecurity workflows. This paper proposes a unified quantitative framework for...

Elijah M. Maseno, Yan-Xia Sun, Zeng-Hui Wang · 0 citations
Open access Jul 2026

Detecting adversarial evasion in deep learning intrusion detection systems using explainable AI

Deep learning based network intrusion detection systems (IDS) can achieve strong traffic classification performance, but their resilience to adversarial manipulation remains a critical concern. This study evaluates the adversarial robustness of Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) models in a mu...

Elijah M. Maseno, Yanxia Sun, Zenghui Wang · 0 citations

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