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Retrospective IP Address Geolocation for Geography-Aware Internet Services.
1Faculty of Electrical Engineering and Communication, Department of Telecommunications, Brno University of Technology, 61600 Brno, Czech Republic.
Retrospective IP address geolocation is feasible for several years, with variations between IPv4 and IPv6. A new model estimates past IP location changes, aiding applications like content targeting and fraud prevention.
Area of Science:
- Computer Science
- Internet Engineering
- Network Security
Background:
- Retrospective geolocation of IP addresses is challenging due to dynamic internet infrastructure and limited historical location data.
- Understanding past IP address locations is crucial for various analytical and security applications.
Purpose of the Study:
- To analyze the accuracy and feasibility of retrospective geolocation for IPv4 and IPv6 addresses over a five-year period.
- To develop and introduce a method for handling missing historical IP geolocation databases.
- To propose a parametric model for estimating IP address location lifetime.
Main Methods:
- Analysis of retrospective geolocation data for IPv4 and IPv6 addresses spanning five years.
- Development of an approach to address gaps in historical IP geolocation databases.
- Implementation of a parametric model to estimate the timing of past IP address location changes.
Main Results:
- Retrospective IP address geolocation is reliable for up to a few years, with observed differences between IPv4 and IPv6.
- The proposed model effectively estimates the duration of IP address locations in the past.
- The study validates the utility of retrospective geolocation in practical scenarios.
Conclusions:
- Retrospective IP address geolocation is a viable technique for historical analysis, particularly within a few years' scope.
- The developed methods and models enhance the reliability and applicability of historical IP location data.
- Findings support applications in social studies, system analysis, security investigations, geotargeted content, and e-commerce identity theft prevention.
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