Network entity landmark evaluation method and device with error upper limit

Abstract

The invention belongs to the technical field of network entity positioning, and particularly relates to a network entity landmark evaluation method and device with an error upper limit, and the methodcomprises the steps: obtaining candidate landmark data, carrying out the clustering according to the landmark declaration position distribution condition of a last hop router in the landmark data, and determining the possible position range of the router; and screening out reliable landmarks according to the possible position ranges, determining an error upper limit of the landmarks, and carryingout reliability evaluation on the landmark data. According to the method and the device, clustering is carried out according to the declaration position distribution condition of the landmark, the possible position range and accuracy of the router are calculated, reliable landmarks is screened out according to the position ranges of the landmarks and an error upper limit of the landmarks is determined, so as to acquire the reliable landmarks to support accurate positioning. Batch street-level landmark reliability assessment is realized, a problem that a landmark error range cannot be quantized in a current street-level landmark assessment process is solved, and the method has important guiding significance for a network entity landmark assessment technology based on network measurement.

Description

technical field [0001] The invention belongs to the technical field of network entity positioning, and in particular relates to a network entity landmark evaluation method and device with an error upper limit. Background technique [0002] Street-level IP positioning refers to the determination of the block-level geographical location of network entities with IP identifiers. This technology plays an important role in areas related to national security such as network operations and cyber crime tracking. It is also used in targeted advertising, network performance optimization, and location-based Business areas such as content customization also play a key role. This technology requires the assistance of street-level landmarks with accurate locations, and the accuracy of positioning is also limited by the location error of the landmarks. Therefore, it is necessary to evaluate the candidate landmarks, determine their location errors, and obtain reliable landmarks with small er...

AI Technical Summary

Problems solved by technology

[0004] To this end, the present invention provides a network entity landmark evaluation method and device with an upper limit of error, which evaluates the location reliability of street-level candidate landmarks, and quantifies the error upper limit between the declared position and the actual position of the landmark to solve the problem of network entity positioning. At the same time, it is possible to select a landmark with a small position error as a reference point to improve the accuracy of the positioning result, which has strong practicability and operability

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