Street-Level Landmark Evaluation Based on Nearest Routers
Joint Authors
Luo, Xiangyang
Li, Ruixiang
Sun, Yuchen
Hu, Jianwei
Ma, Te
Source
Security and Communication Networks
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-07-18
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Abstract EN
High reliable street-level landmarks are the basis of IP geolocation, but landmark evaluation methods having been proposed cannot evaluate the street-level landmarks.
Therefore, in this paper, a street-level landmark evaluation method based on nearest router is proposed.
The location organization declared is regarded as an area not a point.
Firstly, the declared location of preevaluated landmark is verified by IP location databases.
Secondly, the preevaluated landmarks are grouped according to their nearest router.
Then, the distance constraint is obtained using delay value between landmark and its nearest router by delay-distance correlation.
And relation model is established among distance constraint, organization’s region radius, and distance between two landmarks.
Finally, the reliability value of landmarks is calculated in each group based on relational model and binomial distribution.
Landmarks evaluation experiment is taken based on 7082 preevaluated landmarks, and the results show that geolocation errors decrease obviously using evaluated landmarks.
The mean error of 100 targets in Shanghai is reduced from 7.832km to 2.185km.
American Psychological Association (APA)
Li, Ruixiang& Sun, Yuchen& Hu, Jianwei& Ma, Te& Luo, Xiangyang. 2018. Street-Level Landmark Evaluation Based on Nearest Routers. Security and Communication Networks،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1213992
Modern Language Association (MLA)
Li, Ruixiang…[et al.]. Street-Level Landmark Evaluation Based on Nearest Routers. Security and Communication Networks No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1213992
American Medical Association (AMA)
Li, Ruixiang& Sun, Yuchen& Hu, Jianwei& Ma, Te& Luo, Xiangyang. Street-Level Landmark Evaluation Based on Nearest Routers. Security and Communication Networks. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1213992
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1213992