Official code for the paper A cheap and accurate delay-based IP Geolocation method using Machine Learning and Looking Glass, IFIP Networking 2023
Authors: Allen Hong, Yahui Li, Han Zhang, Ming Wang, Changqing An, Jilong Wang.
For convenience, we refer to 'country/region' as 'country' in our project! (Using 'country or region' makes a lot of variables too long, such as dict_city_by_country_or_region.) This project has nothing to do with politics! If you feel offended by any part of this project, please do not hesitate to contact us!
Python 3.8+ is ok, then pip install -r requirements.txt to install the required packages :)
Each directory has a subdirectory called code, execute .py files then get result.
The respective roles of each directory are as follows:
0_location_hint: Building some location hint dictionaries.1_looking_glass: Getting the location and api of Looking Glasses.2_end_points: Collecting some end points.3_make_ping: Using Looking Glass to make measurement.4_make_geo: Geolocating with our measurement data.
Q: Why is there no reproduction code for related work?
A: This repository is just the code of our work. Thanks very much to the work of Zack et al, their code is very helpful for us to reproduce the related works. You can also refer to them. If you have some problems, you can send us email to communicate.
Q: Why are there some differences in the results of the evaluation?
A: The results are highly dependent on the input data. We re-generated training and test data during each evaluation.