The paper demonstrates that multicollinearity inflates explanation variance in AI models for intrusion detection and introduces a fragility metric plus two mitigation techniques to stabilize attributions.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
SentinelSphere integrates an AI threat detector using an enhanced DNN on benchmark datasets with a fine-tuned quantized LLM for user training and awareness.
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Stabilising Explainability Fragility in Cybersecurity AI: The Impact and Mitigation of Multicollinearity in Public Benchmark Datasets
The paper demonstrates that multicollinearity inflates explanation variance in AI models for intrusion detection and introduces a fragility metric plus two mitigation techniques to stabilize attributions.
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SentinelSphere: Integrating AI-Powered Real-Time Threat Detection with Cybersecurity Awareness Training
SentinelSphere integrates an AI threat detector using an enhanced DNN on benchmark datasets with a fine-tuned quantized LLM for user training and awareness.