Design of an Autoencoder-based Anomaly Detection for the DoH traffic System-Reference-Cited by-同舟云学术

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Design of an Autoencoder-based Anomaly Detection for the DoH traffic System

Published:2022-05-04 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD)
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Author:

Du Xinhui¹,Liu Dongxin²,Ding Shuai¹,Liu Zhongji³,Yuan Xiaowei¹,Li Tong¹,Deng Haojiang⁴

Affiliation:

1. Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China,100093

2. Guangdong Research Institute of China Telecom Corporation Limited,Guangzhou,China,510630

3. Second Academy of China Aerospace and Industry Corporation,Institute 706,Beijing,China,100854

4. Peng Cheng Laboratory,Shenzhen,China,518000

Funder

Chinese Academy of Sciences

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9775971/9776016/09776029.pdf?arnumber=9776029

Reference29 articles.

1. The Go Programming Language[EB/OL],0

2. DNS Tunneling Detection Method Based on Multilabel Support Vector Machine

3. Detecting DNS Tunnel through Binary-Classification Based on Behavior Features

4. DNS covert channel detection method using the LSTM model

5. Detecting Malicious DNS over HTTPS Traffic in Domain Name System using Machine Learning Classifiers

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Detecting malicious DoH traffic: Leveraging small sample analysis and adversarial networks for detection;Journal of Information Security and Applications;2024-08

2. Multi-Graph Structure Learning-based Multivariate Time Series Anomaly Detection with Extended Prior Knowledge;2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD);2024-05-08

3. Detection, characterization, and profiling DoH Malicious traffic using statistical pattern recognition;International Journal of Information Security;2023-12-15

4. A Lightweight Double-Stage Scheme to Identify Malicious DNS over HTTPS Traffic Using a Hybrid Learning Approach;Sensors;2023-03-27

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