11 citations · 11 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 11 cited
Ransomware detection using stacked autoencoder for feature selection
Mike Nkongolo, Mahmut Tokmak
The aim of this study is to propose and evaluate an advanced ransomware detection and classification method that combines a Stacked Autoencoder (SAE) for precise feature selection…
cs.CR2023
Stacking an autoencoder for feature selection of zero-day threats
Mahmut Tokmak, Mike Nkongolo
Zero-day attack detection plays a critical role in mitigating risks, protecting assets, and staying ahead in the evolving threat landscape. This study explores the application of s…