NotionNext BLOG
首页
搜索
归档
友链
留言
文章
13
分类
3
标签
2
友链
留言
归档
搜索
分类
标签
BejaGNN: behavior-based Java malware detection via graph neural network.ahttps://wpn.zut.edu.cn/https/77726476706e69737468656265737421fbf952d2243e635930068cb8/kns8/Detail/RedirectScholar?flag=TitleLink&tablename=GARJ2021_4&filename=SJPD4DA34EF7B3E8F4BDC56BE6CB549EEF25
发布于:
最后更新: 2023-10-17
次查看
开源
标签
识别代码漏洞
备注
研究人员转向提取丰富的静态特征来实现高效的恶意软件检测
建模场景
Java代码提取特征
年份会议级别
2023
SCI-4
翻译
BejaGNN:基于行为的图神经网络Java恶意软件检测。
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
2024-4-26
Anomaly traffic detection in IoT security using graph neural networks
2024-4-25
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
公告
一个同步自己Notion笔记的网站