Street-level landmark acquisition method based on SVM classification model

Abstract

The invention provides a street-level landmark acquisition method based on an SVM classification model. In order to overcome the defect that a large number of street-level landmarks cannot be rapidlyobtained through an existing landmark obtaining method at present, a service carried on the IP is identified by using an open port. Domain name reverse analysis is carried out on the IP; meanwhile, aregional institution information base is constructed, a social engineering means is used based on the institution information base, candidate street-level landmarks are obtained by combining a database query method and an online map method, and finally, the obtained candidate street-level landmarks are evaluated by using a street-level landmark evaluation method to obtain reliable street-level landmarks; according to the street landmark obtaining method based on the SVM classification model, more street-level reliable landmarks can be obtained in a shorter time.

Description

technical field [0001] The invention relates to the field of street landmark acquisition, in particular to a street landmark acquisition method based on an SVM classification model. Background technique [0002] High-precision IP positioning has high application prospects in tracking network attack objects, locating covert communication subjects, and reducing P2P download time. Street-level IP localization imposes a high density requirement on street-level landmarks (network entities whose IP and geographic addresses are known). How to obtain rich street-level landmarks is an urgent problem to be solved in street-level IP positioning. Currently, the main methods for obtaining landmarks are database query and Web-based landmark mining methods. [0003] The landmark acquisition method based on IP location database query uses a database API interface to obtain landmarks from an existing IP location database. Currently, most IP location databases (such as Baidu, IPIP, IP.cn, ...

AI Technical Summary

Problems solved by technology

[0010] The purpose of the present invention is to provide a street landmark acquisition method based on the SVM classification model, aiming at the deficiency that the current existing landmark acquisition method cannot quickly acquire a large number of street-level landmarks, thereby obtaining street-level landmarks, and using the street-level landmark evaluation method to evaluate the obtained candidates landmarks for evaluation

Images