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Robust anomaly-based intrusion detection system for in-vehicle network by graph neural network frameworkb
发布于:
最后更新: 2023-11-6
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概述
补充
控制区域网络-图注意力网络(CAN-GAT)。CAN总线上的流量设计了一个图+GAT
年份会议级别
2022
SCI2
标签
异常检测
中文标题
基于图神经网络框架的车载网络鲁棒异常入侵检测系统
Valine
Braindance
为世界上所有的美好而战
文章
13
分类
3
标签
2
最新发布
A survey on graph neural networks for intrusion detection systems: Methods, trends and challenges
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TS-IDS: Traffic-aware self-supervised learning for IoT Network Intrusion Detection
2024-4-25
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
2023-11-30
Application of a Dynamic Line Graph Neural Network for Intrusion Detection With Semisupervised Learning
2023-11-27
Wrongdoing Monitor: A Graph-Based Behavioral Anomaly Detection in Cyber Security
2023-11-6
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