Refined identification of hybrid traffic in DNS tunnels based on regression analysis

Author:

Bai Huiwen1ORCID,Liu Guangjie12ORCID,Zhai Jiangtao2ORCID,Liu Weiwei1ORCID,Ji Xiaopeng2ORCID,Yang Luhui1ORCID,Dai Yuewei2

Affiliation:

1. School of Automation Nanjing University of Science and Technology Nanjing China

2. School of Electronic and Information Engineering Nanjing University of Information Science and Technology Nanjing China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Wiley

Subject

Electrical and Electronic Engineering,General Computer Science,Electronic, Optical and Magnetic Materials

Cited by 6 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. DNS tunnelling attack and detection;CHEMISTRY BEYOND BORDERS: INTERNATIONAL CONFERENCE ON PHYSICAL CHEMISTRY: The 1st Annual Meeting of the Physical Chemistry Division of the Indonesian Chemical Society;2023

2. A security model for DNS tunnel detection on cloud platform;2022 Workshop on Communication Networks and Power Systems (WCNPS);2022-11-17

3. Detecting DoH tunnels with privacy protection using federated learning;International Conference on Network Communication and Information Security (ICNIS 2021);2022-04-22

4. Application of Artificial Intelligence to Network Forensics: Survey, Challenges and Future Directions;IEEE Access;2022

5. Classifying DNS Tunneling Tools For Malicious DoH Traffic;2021 IEEE Symposium Series on Computational Intelligence (SSCI);2021-12-05

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