City-Level IP Geolocation Algorithm Based on PoP Network Topology

被引:14
|
作者
Zu, Shuodi [1 ]
Luo, Xiangyang [1 ]
Liu, Siqi [1 ]
Liu, Yan [2 ]
Liu, Fenlin [2 ]
机构
[1] State Key Lab Math Engn & Adv Comp, Zhengzhou 450001, Henan, Peoples R China
[2] Zhengzhou Sci & Technol Inst, Zhengzhou 450001, Henan, Peoples R China
来源
IEEE ACCESS | 2018年 / 6卷
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
City-level; IP geolocation; path detection; PoP; topology; INTERNET; SERVICES; PRIVACY;
D O I
10.1109/ACCESS.2018.2878309
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The existing city-level IP geolocation algorithms determine the location of IP by delay measurement and landmark comparison, and thus, the geolocation ability of these algorithms is affected by the delay precision and the number of landmarks. To alleviate the dependence on these conditions, a new city-level geolocation algorithm is proposed based on the PoP network topology in this paper. First, according to the distribution of one-hop delay between network nodes in different cities, the network nodes belonging to the target city are picked out from the detection path, and the landmarks are extended. Second, common anonymous route structures are used to find and merge anonymous routes in the path information. Finally, the PoP network topology inside the city is extracted through the tightly connected network nodes, recorded into the PoP database, and used for city-level geolocation. The experiment results of 35 808 IP geolocations in 28 cities of China and the United States verify that the proposed algorithm still has good city-level geolocation ability when the delay accuracy is low or the number of landmarks is small, comparing with the existing typical IP geolocation algorithms LBG and SLG, the proposed algorithm improves the success rate of city-level geolocation from 74.86% and 94.14% to 97.67%.
引用
收藏
页码:64867 / 64875
页数:9
相关论文
共 50 条
  • [21] LandmarkMiner: Street-level Network Landmarks Mining Method for IP Geolocation
    Li, Ruixiang
    Xu, Rui
    Ma, Yuanyuan
    Luo, Xiangyang
    ACM TRANSACTIONS ON INTERNET OF THINGS, 2021, 2 (03):
  • [22] The role of network participation in climate change mitigation: a city-level analysis
    Heikkinen, Milja
    INTERNATIONAL JOURNAL OF URBAN SUSTAINABLE DEVELOPMENT, 2022, 14 (01) : 1 - 14
  • [23] Towards Region-level IP Geolocation Based on the Path Feature
    Chen, Jingning
    Liu, Fenlin
    Wang, Tianpeng
    Luo, Xiangyang
    Zhao, Fan
    Zhu, Guang
    2015 17TH INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATION TECHNOLOGY (ICACT), 2015, : 468 - 471
  • [24] A Smart City System Architecture based on City-level Data Exchange Platform
    Chen, Jinfu
    Guo, Yuchi
    Su, Chenfei
    Chen, Jiamei
    Chang, Shen
    JOURNAL OF INFORMATION TECHNOLOGY RESEARCH, 2015, 8 (04) : 1 - 25
  • [25] LiteGeoPro: A Lightweight and Cheap IP Geolocation Algorithm Based on Location Propagation
    Liu, Chong
    Zu, Shuodi
    Yuan, Fuxiang
    Shi, Wenqi
    Ding, Shichang
    COMPUTATIONAL AND EXPERIMENTAL SIMULATIONS IN ENGINEERING, ICCES 2024-VOL 2, 2025, 173 : 130 - 138
  • [26] Twitter-based Sensing of City-level Air Quality
    Charitidis, Polychronis
    Spyromitros-Xioufis, Eleftherios
    Papadopoulos, Symeon
    Kompatsiaris, Yiannis
    PROCEEDINGS 2018 IEEE 13TH IMAGE, VIDEO, AND MULTIDIMENSIONAL SIGNAL PROCESSING WORKSHOP (IVMSP), 2018,
  • [27] IP-geolocater: a more reliable IP geolocation algorithm based on router error training
    Shuodi Zu
    Xiangyang Luo
    Fan Zhang
    Frontiers of Computer Science, 2022, 16
  • [28] IP-geolocater:a more reliable IP geolocation algorithm based on router error training
    Shuodi ZU
    Xiangyang LUO
    Fan ZHANG
    Frontiers of Computer Science, 2022, 16 (01) : 99 - 109
  • [29] IP-geolocater: a more reliable IP geolocation algorithm based on router error training
    Zu, Shuodi
    Luo, Xiangyang
    Zhang, Fan
    FRONTIERS OF COMPUTER SCIENCE, 2022, 16 (01)
  • [30] IP Network Topology Link Prediction Based on Improved Local Information Similarity Algorithm
    Chen Yu
    Duan Zhemin
    INTERNATIONAL JOURNAL OF GRID AND DISTRIBUTED COMPUTING, 2015, 8 (06): : 141 - 149