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ADVANCED ATTACK MITIGATION IN IOT GATEWAY PROTOCOLS
DOI:10.1016/j.cose.2025.104539.png)
Abstract
En 中文
• Developed Enhanced SMOTE to address class imbalance and improve model accuracy. • Integrated statistical and Shannon entropy-based features for better traffic classification. • Combined 2D-LICM hyper-chaotic map with Walrus Optimization for feature selection.
Journal
C
IF:
5.4
Papers:
4.6K
Citations:
1.4W
Organization
No organization information available
Cited Papers
Deep-learning approach to attack handling of IoT devices using IoT-enabled network services
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A Systematic Literature Review on Machine and Deep Learning Approaches for Detecting Attacks in RPL-Based 6LoWPAN of Internet of Things
SENSORS
IF3.5

