HP-ELM achieves 0.9592 accuracy on malware detection using top 3 features from CTU-13 and Malware datasets.
Mobile malware anomaly-based detection systems using static analysis features/Ahmad Firdaus Zainal Abidin: University of Malaya; 2017
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A New Malware Detection System Using a High Performance-ELM method
HP-ELM achieves 0.9592 accuracy on malware detection using top 3 features from CTU-13 and Malware datasets.