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ADVANCED ATTACK MITIGATION IN IOT GATEWAY PROTOCOLS
DOI:10.1016/j.cose.2025.104539.png)
摘要
En 中文
• 开发了增强型SMOTE以解决类别不平衡并提高模型准确率。
• 集成了统计特征和基于Shannon熵的特征,以实现更优的交通分类。
• 结合了2D-LICM超混沌映射与Walrus Optimization算法进行特征选择。
期刊
C
IF:
5.4
论文数:
4.6K
被引数:
1.4W
机构
暂无机构信息
引用论文
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IF0
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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
A machine learning based attack detection and mitigation using a secure SaaS framework基于机器学习的攻击检测与缓解,使用安全的SaaS框架

