TY - GEN
T1 - Spring-based geolocation
AU - Gunther, Stephan M.
AU - Schlamp, Johann
AU - Carle, Georg
PY - 2012
Y1 - 2012
N2 - Given an IP address, it is a challenging task to obtain its geographic location. Besides approaches which associate coordinates with IP addresses in a predominantly static way, there are also measurement based approaches that exploit the correlation between the propagation delay of signals and round trip times of probe packets. We analyze multiple approaches solely based on delay measurements, i. e. without the use of third-party knowledge, and obtain mean errors of just under 100 km. In this paper, we propose a new model for IP geolocation which combines the strengths of different previous techniques and reduces IP geolocation to the problem of finding equilibrium points in a spring system. Our approach, called Spring-Based Geolocation (SBG), is able to reduce the mean error to less than 75km in our experiments without adding significant complexity. In fact, our model allows for additional data sources in a natural way, which has the potential to further improve results.
AB - Given an IP address, it is a challenging task to obtain its geographic location. Besides approaches which associate coordinates with IP addresses in a predominantly static way, there are also measurement based approaches that exploit the correlation between the propagation delay of signals and round trip times of probe packets. We analyze multiple approaches solely based on delay measurements, i. e. without the use of third-party knowledge, and obtain mean errors of just under 100 km. In this paper, we propose a new model for IP geolocation which combines the strengths of different previous techniques and reduces IP geolocation to the problem of finding equilibrium points in a spring system. Our approach, called Spring-Based Geolocation (SBG), is able to reduce the mean error to less than 75km in our experiments without adding significant complexity. In fact, our model allows for additional data sources in a natural way, which has the potential to further improve results.
UR - https://www.scopus.com/pages/publications/84864267882
U2 - 10.1109/NOMS.2012.6211952
DO - 10.1109/NOMS.2012.6211952
M3 - Conference contribution
AN - SCOPUS:84864267882
SN - 9781467302685
T3 - Proceedings of the 2012 IEEE Network Operations and Management Symposium, NOMS 2012
SP - 546
EP - 549
BT - Proceedings of the 2012 IEEE Network Operations and Management Symposium, NOMS 2012
T2 - 2012 IEEE Network Operations and Management Symposium, NOMS 2012
Y2 - 16 April 2012 through 20 April 2012
ER -