Identification and Counting of Hosts Behind NAT Using Machine Learning-Reference-Cited by-同舟云学术

Identification and Counting of Hosts Behind NAT Using Machine Learning

Published:2022-01-11 Issue:2 Volume:3 Page:
ISSN:2662-995X
Container-title:SN Computer Science
language:en
Short-container-title:SN COMPUT. SCI.

Author:

Shukla Sanjeev,Gupta Himanshu

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s42979-022-01017-z.pdf

Reference20 articles.

1. Ishikawa Y, Yamai N, Okayama K, Nakamura M. An identification method of pcs behind nat router with proxy authentication on http communication. In: 2011 IEEE/IPSJ international symposium on applications and the internet, IEEE; 2011. pp. 445–450.

2. The Myth of Network Address Translation as Security. 2016. https://www.f5.com/services/resources/white-papers/the-myth-of-network-address-translation-as-security. Accessed 10 Feb 2016.

3. Akashi S, Tong Y. A vulnerability of dynamic network address translation to denial-of-service attacks. In: 4th International conference on data science and information technology, ACM; 2021. pp. 226–230.

4. Tang F, Kawamoto Y, Kato N, Yano K, Suzuki Y. Probe delay based adaptive port scanning for Tot devices with private IP address behind NAT. J IEEE Netw. 2020;34(2):195–201.

5. Tekeoglu A, Altiparmak N, Tosun A. Approximating the number of active nodes behind a nat device. In: 2011 Proceedings of 20th international conference on computer comm networks (ICCCN), IEEE; 2011. pp. 1–7.

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