[HTML][HTML] A novel feature selection-driven ensemble learning approach for accurate botnet attack detection
The rapid expansion of Internet of Things (IoT) networks has made securing devices against
botnet attacks a critical challenge. This research introduces a novel feature selection-driven …
botnet attacks a critical challenge. This research introduces a novel feature selection-driven …
[HTML][HTML] Towards superior android ransomware detection: An ensemble machine learning perspective
Ransomware remains a pervasive threat to Android devices, with its ability to encrypt critical
data and demand ransoms causing significant disruptions to users and organizations alike …
data and demand ransoms causing significant disruptions to users and organizations alike …
Deep learning and ensemble methods for anomaly detection in ICS security
This research addresses the escalating threats to industrial control systems by introducing a
novel approach that combines deep learning for feature selection with a robust ensemble …
novel approach that combines deep learning for feature selection with a robust ensemble …
[PDF][PDF] Cyber Security and Applications
MA Hossain, T Hasan, F Ahmed, SH Cheragee… - researchgate.net
abstract Ransomware remains a pervasive threat to Android devices, with its ability to
encrypt critical data and demand ransoms causing significant disruptions to users and …
encrypt critical data and demand ransoms causing significant disruptions to users and …