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
  • [1] IP City-level Geolocation Based on the PoP-level Network Topology Analysis
    Liu, Siqi
    Liu, Fenlin
    Zhao, Fan
    Chai, Lixiang
    Luo, Xiangyang
    PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON INFORMATION COMMUNICATION AND MANAGEMENT (ICICM 2016), 2016, : 109 - 114
  • [2] City-level IP Geolocation Based on Network Topology Community Detection
    Li, Mingyue
    Luo, Xiangyang
    Shi, Wenqi
    Chai, Lixiang
    2017 31ST INTERNATIONAL CONFERENCE ON INFORMATION NETWORKING (ICOIN), 2017, : 578 - 583
  • [3] City-Level IP Geolocation Method Based on Network Node Clustering
    Li M.
    Luo X.
    Chai L.
    Yuan F.
    Gan Y.
    Jisuanji Yanjiu yu Fazhan/Computer Research and Development, 2019, 56 (03): : 467 - 479
  • [4] City-level Geolocation Algorithm of Network Entities Based on Landmark Clustering
    Zhu, Guang
    Luo, Xiangyang
    Liu, Fenlin
    Zhao, Fan
    2016 18TH INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATIONS TECHNOLOGY (ICACT) - INFORMATION AND COMMUNICATIONS FOR SAFE AND SECURE LIFE, 2016, : 306 - 309
  • [5] City-Level Homogeneous Blocks Identification for IP Geolocation
    Yuan, Fuxiang
    Liu, Fenlin
    Liu, Chong
    Luo, Xiangyang
    INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2020, 26 (06): : 1403 - 1417
  • [6] City-level Geolocation Based on Routing Feature
    Zhao, Fan
    Song, Yuhan
    Liu, Fenlin
    Ke, Ke
    Chen, Jingning
    Luo, Xiangyang
    2015 IEEE 29TH INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS (IEEE AINA 2015), 2015, : 414 - 419
  • [7] A High Completeness PoP Partition Algorithm for IP Geolocation
    Yuan, Fuxiang
    Liu, Fenlin
    Huang, Donghua
    Liu, Yan
    Luo, Xiangyang
    IEEE ACCESS, 2019, 7 : 28340 - 28355
  • [8] Street-Level IP Geolocation Algorithm Based on Landmarks Clustering
    Zhang, Fan
    Liu, Fenlin
    Xu, Rui
    Luo, Xiangyang
    Ding, Shichang
    Tian, Hechan
    CMC-COMPUTERS MATERIALS & CONTINUA, 2021, 66 (03): : 3345 - 3361
  • [9] Street-level IP geolocation algorithm based on landmarks clustering
    Zhang, Fan
    Liu, Fenlin
    Xu, Rui
    Luo, Xiangyang
    Ding, Shichang
    Tian, Hechan
    Computers, Materials and Continua, 2020, 66 (03): : 3345 - 3361
  • [10] A City-Level Boundary Nodes Identification Algorithm Based on Bidirectional
    Tao, Zhiyuan
    Liu, Fenlin
    Liu, Yan
    Luo, Xiangyang
    KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2021, 15 (08): : 2764 - 2782