Application for Determining whether IP Addresses belong to a Map by Coordinates
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F19%3APU132607" target="_blank" >RIV/00216305:26220/19:PU132607 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/8769100" target="_blank" >https://ieeexplore.ieee.org/document/8769100</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Application for Determining whether IP Addresses belong to a Map by Coordinates
Original language description
This article presents a part of our project focused on developing a measuring device for Gigabit-capable Passive Optical Networks. A part of the device is a Python application used to detect whether captured IP addresses belong to a map by their coordinates. Two methods are tested and compared. First, a clustering method to calculate if given IP lies inside a created map based on latitude and longitude positions, and the other, an intersection method for the same purpose. It is our idea to verify that either this method can be used for localization purposes. With this article, a basic schema and functionality of the application and test’s results of the methods are described.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20203 - Telecommunications
Result continuities
Project
<a href="/en/project/VI20172019072" target="_blank" >VI20172019072: Detection of security threats on the active components of critical infrastructures</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
42nd International Conference on Telecommunications and Signal Processing (TSP)
ISBN
978-1-7281-1864-2
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
14-18
Publisher name
IEEE
Place of publication
Budapest, Hungary
Event location
Budapest, Hungary
Event date
Jul 1, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000493442800003