Unsupervised learning and rule extraction for Domain Name Server tunneling detection

Author:

Aiello Maurizio1,Mongelli Maurizio1ORCID,Muselli Marco1,Verda Damiano2

Affiliation:

1. Institute of Electronics, Computer and Telecommunication Engineering; National Research Council of Italy; Genoa Italy

2. Rulex Inc.; Newton Massachusetts

Publisher

Wiley

Subject

General Medicine

Cited by 8 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. Real-time Threat Detection Strategies for Resource-constrained Devices;2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT);2024-04-29

2. Dynamic Rule Extraction Method Based on Computer Fuzzy Chinese Language Recognition System;2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE);2023-11-02

3. Trustworthy artificial intelligence classification-based equivalent bandwidth control;Computer Communications;2023-09

4. Machine Learning Techniques for Accurately Detecting the DNS Tunneling;Lecture Notes in Networks and Systems;2023

5. A DNS-based Data Exfiltration Traffic Detection Method for Unknown Samples;2022 7th IEEE International Conference on Data Science in Cyberspace (DSC);2022-07

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