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National Repository of Grey Literature 2 records found  Search took 0.02 seconds. 
Application for geolocation databases
 Klíma, Oldřich ; Burget, Radim (referee) ; Komosný, Dan (advisor)
The thesis deals with possibilities for more precise determination of geographical position of given IP address by combination of estimates of data obtained from geolocation databases. The first part introduces the issue on theoretical level. Possibilities of network device identification, its geographical location and principles of geolocation databases are described here. After analyzing the theoretical part of this issue, the current state of application for geolocation databases is described. The next section introduces a new application which uses original software ip2geotools as a library. Using the three implemented methods for combining results (based on average, median, and cluster analysis by K-Means algorithm), the new program allows to estimate the physical location of IP address. The app is complemented with console interface and geographic data visualization on the map. In the last part, the accuracy of computational methods is validated and a detailed statistical analysis of data obtained by performing a calculation over a set of IP addresses with known geographical location of the RIPE Atlas service is performed.
Detailed record
Application for geolocation databases
 Klíma, Oldřich ; Burget, Radim (referee) ; Komosný, Dan (advisor)
The thesis deals with possibilities for more precise determination of geographical position of given IP address by combination of estimates of data obtained from geolocation databases. The first part introduces the issue on theoretical level. Possibilities of network device identification, its geographical location and principles of geolocation databases are described here. After analyzing the theoretical part of this issue, the current state of application for geolocation databases is described. The next section introduces a new application which uses original software ip2geotools as a library. Using the three implemented methods for combining results (based on average, median, and cluster analysis by K-Means algorithm), the new program allows to estimate the physical location of IP address. The app is complemented with console interface and geographic data visualization on the map. In the last part, the accuracy of computational methods is validated and a detailed statistical analysis of data obtained by performing a calculation over a set of IP addresses with known geographical location of the RIPE Atlas service is performed.
Detailed record

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