CIC-AndMal-2020

The 'CIC-AndMal2020' dataset is a large-scale malware dataset used to evaluate the effectiveness and robustness of machine learning-based malware detection systems.

Papers using CIC-AndMal-2020 (2)

CAFE-GB: Scalable and Stable Feature Selection for Malware Detection via Chunk-wise Aggregated Gradient Boosting2026Melemad: Adaptive Malware Detection Via Chunk-wise Feature Selection And Meta-learning2025