arrow
返回

A novel feature engineering method for network anomaly detection

delete2025-08-20
delete0
PRE
AI
S
Shaojie Han
F
Feiyu Li
X
Xueqiang Han
S
Shihui Zhang *
DOI:10.1016/j.compeleceng.2025.110627delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

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
Computers and Electrical Engineering
IF:
4.9
论文数:
6.7K
被引数:
1.3W

机构

Y
Yanshan University
学者数:
1.7W
论文数: 1.1W
被引数: 1.3W
引用论文

引用论文

A novel unsupervised method for anomaly detection in time series based on statistical features for industrial predictive maintenance
err2021-09-12
err11
PREAI
errda Silva Arantes, Jesimar; da Silva Arantes, Marcio; Frohlich, Herberth Birck; Siret, Laure; Bonnard, Renan
err分享
err收藏
Evaluation of feature learning for anomaly detection in network traffic
err2020-04-22
err0
PREAI
errDaniel Pérez; Serafín Alonso; Antonio Morán; Miguel A. Prada; Juan José Fuertes; Manuel Domínguez
err分享
err收藏
A New Intrusion Detection System Based on Fast Learning Network and Particle Swarm Optimization
err2018-01-01
err127
errOAAI
errAli, Mohammed Hasan; Al Mohammed, Bahaa Abbas Dawood; Ismail, Alyani; Zolkipli, Mohamad Fadli
err分享
err收藏
学者 查看更多内容