Large-Scale IP Geolocation Accuracy Assessment Using Measurement Datasets

Abstract

Geolocation by IP involves identifying an individual based on their IP address. Using these services helps identify the region where an individual accessing a website is located, enabling region-based limitations. The address-to-location identification can be used to narrow coordinates to within a 1-km radius for the entire world. Various IP addresses can also be grouped to cover an IPv4 address space of 740 million and IPv6 address capabilities. Correct IP geolocation detection helps determine the geographic region of the service user. Detection is essential for content delivery, fraud detection, data regulation breaches, and national cybersecurity. Regarding detection accuracy issues, approximate borders would help quantify the difference between reported and ground-truth country boundaries. Borders have branches that further diverge into regions, states, counties, and town municipalities. These units facilitate international transportation and significantly impact transportation analysis and structure. Compare the surfacing results generated by algorithms integrated with various open-source and commercial functional geographical databases, alongside the accuracy claims made by these databases. The research incorporates active latency triangulation and passive topology-inferencing techniques to estimate detection accuracy to around the hundredth mark. Overall, this illustrates how the operational economic advantage of North America and Europe, as opposed to booster regions such as Africa or South Asia, affects study accuracy in light of top political sensitivity. Furthermore, it raises concerns for us, as Ethiopian non-biased third-world development implies peer politics. This research provides a conclusive basis for creating a benchmarking system to assess and improve the efficiency of IP geolocation technology. Further incorporating newer technologies into the system will improve the system by automating recalibration and integrating real-time data validation.