skip to main content
Language:
Search Limited to: Search Limited to: Resource type Show Results with: Show Results with: Search type Index

Target driven IP Geolocation Algorithm

Journal of physics. Conference series, 2021-03, Vol.1861 (1), p.12002 [Peer Reviewed Journal]

2021. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1861/1/012002

Full text available

Citations Cited by
  • Title:
    Target driven IP Geolocation Algorithm
  • Author: Wang, Zhanfeng ; Niu, Yan ; Chen, Hao ; Cheng, Guang ; Cui, Jiawei ; Zhang, Zhiyi
  • Subjects: Algorithms ; Geographical locations ; Inference ; IP (Internet Protocol)
  • Is Part Of: Journal of physics. Conference series, 2021-03, Vol.1861 (1), p.12002
  • Description: Abstract IP Golocation is an important technique to achieve network attack traceability, network security early warning, and improve the ability of cyberspace governance. Due to the limitation of collecting a large number of anchor nodes, it is impossible to accurately infer the IP location to block level or more in a large scale. Therefore, this paper proposes a target driven IP geolocation inference method. Firstly, the candidate anchor node is collected from the subnet or the adjacent subnet of the target IP, then the candidate anchor node is calibrated by their fingerprints, and finally the geolocation of target IP is comprehensively inference by its proximity to anchors. In order to verify the proposed method, 10,000 IPs in Beijing is selected randomly. The experimental results show that the method can effectively infer the geographical location of the target IP address.
  • Publisher: Bristol: IOP Publishing
  • Language: English
  • Identifier: ISSN: 1742-6588
    EISSN: 1742-6596
    DOI: 10.1088/1742-6596/1861/1/012002
  • Source: Geneva Foundation Free Medical Journals at publisher websites
    IOP Publishing (Open access)
    ProQuest Central
Back to results list
INSPIRE LIBRARY - TON DUC THANG UNIVERSITY (84-028) 37 755 057 Feedback
19 Nguyen Huu Tho St. Dist.7, HCM thuvien@tdtu.edu.vn

Copyright © 2017 INSPIRE LIBRARY - TON DUC THANG UNIVERSITY

Searching Remote Databases, Please Wait