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    ARTICLE

    Street-Level IP Geolocation Algorithm Based on Landmarks Clustering

    Fan Zhang1,2, Fenlin Liu1,2,*, Rui Xu3,4, Xiangyang Luo1,2, Shichang Ding5, Hechan Tian1,2

    CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 3345-3361, 2021, DOI:10.32604/cmc.2021.014526

    Abstract Existing IP geolocation algorithms based on delay similarity often rely on the principle that geographically adjacent IPs have similar delays. However, this principle is often invalid in real Internet environment, which leads to unreliable geolocation results. To improve the accuracy and reliability of locating IP in real Internet, a street-level IP geolocation algorithm based on landmarks clustering is proposed. Firstly, we use the probes to measure the known landmarks to obtain their delay vectors, and cluster landmarks using them. Secondly, the landmarks are clustered again by their latitude and longitude, and the intersection of these two clustering results is taken… More >

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