Detection of DNS Tunneling in Mobile Networks Using Machine Learning-Reference-Cited by-同舟云学术

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Detection of DNS Tunneling in Mobile Networks Using Machine Learning

Published:2017 Issue: Volume: Page:221-230
ISSN:1876-1100
Container-title:Information Science and Applications 2017
language:
Short-container-title:

Author:

Do Van Thuan,Engelstad Paal,Feng Boning,van Do Thanh

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-4154-9_26

Reference23 articles.

1. IETF: RFC 1034 Domain names – concepts and facilities, Internet standard, November 1987

2. IETF: RFC 1035 Domain names - Implementation and specification - Internet standard, November 1987

3. Pure Hacking: Reverse DNS Tunneling – Staged Loading Shellcode, Ty Miller, Blackhat (2008)

4. Ayaya: Black Ops of DNS, Dan Kaminsky, Blackhat (2004)

5. OzymanDNS – Dan Kaminsky (2004). https://dankaminsky.com/2004/07/29/51/

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1. AutoRoC-DBSCAN: automatic tuning of DBSCAN to detect malicious DNS tunnels;Annals of Telecommunications;2024-03-22

2. Improving DNS Data Exfiltration Detection Through Temporal Analysis;Communications in Computer and Information Science;2024

3. Health Care DNS Tunnelling Detection Method via Spiking Neural Network;Lecture Notes in Electrical Engineering;2024

4. Performance Evaluation of Neural Network Techniques for Short-Range Wind Energy Estimation;2023 24th International Middle East Power System Conference (MEPCON);2023-12-19

5. OptiTuneD: An Optimized Framework for Zero-Day DNS Tunnel Detection Using N-Grams;2023 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS);2023-12-17

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