Automatic generating regular expression signatures for real network worms

您当前的位置：

首页 >

文章列表页 >

Technical Report | 更新时间：2024-06-05

- Automatic generating regular expression signatures for real network worms
- Journal on Communications Vol. 34, Issue 3, Pages: 141-147(2013)
- 作者机构：
  
  1. 国防科技大学计算机学院，湖南长沙 410073
  2. 清华大学信息网络工程研究中心，北京100084
- 作者简介：
- 基金信息：
  
  The National High Technology Research and Development Program of China (863 Program)(2011AA01A103);The National Natural Science Foundation of China(61003303);The National Natural Science Foundation of China(61003217)
- DOI：10.3969/j.issn.1000-436x.2013.03.018
  CLC： TP311.134.3
- Online First：2013-03，
  
  Published：25 March 2013
- 稿件说明：
移动端阅览
Yong TANG, Jian-wei ZHUGE, Shu-hui CHEN, et al. Automatic generating regular expression signatures for real network worms[J]. Journal on Communications, 2013, 34(3): 141-147.
DOI：

Yong TANG, Jian-wei ZHUGE, Shu-hui CHEN, et al. Automatic generating regular expression signatures for real network worms[J]. Journal on Communications, 2013, 34(3): 141-147. DOI： 10.3969/j.issn.1000-436x.2013.03.018.

Views

745

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Intrusion detection method based on data augmentation and multi-explanation method fusion

Intrusion detection method for IoT in heterogeneous environment

Network intrusion detection method based on VAE-CWGAN and fusion of statistical importance of feature

Research on intrusion detection for maritime meteorological sensor network based on balancing generative adversarial network

Method based on contrastive learning for fine-grained unknown malicious traffic classification

Related Author

Xiong Xuanrui

GUO Xingyou

NING Zhaolong

ZHANG Yushu

ZHOU Li

LIU Jing

MU Zelin

LAI Yingxu

Related Institution

School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications

College of Electronic Science and Technology, National University of Defense Technology

Faculty of Information Technology, Beijing University of Technology

Engineering Research Center of Intelligent Perception and Autonomous Control,Ministry of Education

Department of Information Security, Naval University of Engineering

AI导读

AI问答

⁰