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A novel feature engineering method for network anomaly detection
DOI:10.1016/j.compeleceng.2025.110627.png)
摘要
En 中文
• 提出一种名为THA-RNCT的网络异常检测特征工程方法。
• 设计一种双向混合分析策略,用于分析和按重要性排序特征。
• 设计一种基于区域的噪声拼接变换模块以提升性能。
Keyword:
THA-RNCT
feature engineering
network anomaly detection
hybrid analysis strategy
noisy concatenation transformation
期刊
C
IF:
4.9
论文数:
6.7K
被引数:
1.3W
机构
引用论文
Machine Learning Approaches for Anomaly Detection in IoT: An Overview and Future Research Directions
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Machinery Anomaly Detection using artificial neural networks and signature feature extraction基于人工神经网络和特征提取的机械异常检测
A novel metaheuristic method for solving constrained engineering optimization problems: Crow search algorithm一种求解约束工程优化问题的元启发式方法: 乌鸦搜索算法
An improved density peaks clustering algorithm based on grid screening and mutual neighborhood degree for network anomaly detection
SCIENTIFIC REPORTS
IF3.9

