COBRA: Counterfactual oversampling framework for imbalanced structured data classification

Malik AL-Essa

doi:10.1016/j.eswa.2025.130764

COBRA: Counterfactual oversampling framework for imbalanced structured data classification

2025-12-15

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DOI：10.1016/j.eswa.2025.130764

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highlights • Counterfactual oversampling (COBRA-IDS) to solve the problem of rare attacks in cybersecurity datasets. • Boundary-focused, plausible counterfactuals to improve minority-class detection vs. traditional techniques. • XAI analysis. • Robustness of the proposed method to adversarial attacks.

COBRA: Counterfactual oversampling framework for imbalanced structured data classification

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