IP Geolocation based on identification routers and local delay distribution similarity-Reference-Cited by-同舟云学术

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IP Geolocation based on identification routers and local delay distribution similarity

Published:2018-07-27 Issue:22 Volume:31 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Zhao Fan¹^ORCID,Luo Xiangyang¹,Gan Yong²,Zu Shuodi¹,Cheng Qingfeng¹,Liu Fenlin¹

Affiliation:

1. State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou 450001 China

2. School of Computer and Communication EngineeringZhengzhou University of Light Industry Zhengzhou 450001 China

Funder

National Natural Science Foundation of China

Ministry of Science and Technology of the People's Republic of China

Henan University of Science and Technology

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.4722

Reference26 articles.

1. YiS LiC LiQ.A survey of fog computing: concepts applications and issues. In: Proceedings of the 2015 Workshop on Mobile Big Data (Mobidata '15);2015;Hangzhou China.

2. YiS QinZ LiQ.Security and privacy issues of fog computing: a survey. In: Proceedings of the 10th International Conference on Wireless Algorithms Systems and Applications (WASA 2015);2015;Qufu China.

3. An investigation of geographic mapping techniques for internet hosts

4. An overview of fog computing and its security issues;Ivan S;Concurr Comput Pract Exp,2015

5. TorWard: Discovery, Blocking, and Traceback of Malicious Traffic Over Tor

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1. IP2vec: an IP node representation model for IP geolocation;Frontiers of Computer Science;2023-12-28

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4. A method of Improving the Security of Information and Telecommunications Network Using the Means of Determining Intruder's Geolocation;Proceedings of Telecommunication Universities;2023-09-21

5. GWS-Geo: A graph neural network based model for street-level IPv6 geolocation;Journal of Information Security and Applications;2023-06

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