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Towards IP geolocation with intermediate routers based on topology discovery
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作者 Zhihao Wang Hong Li +3 位作者 Qiang Li Wei Li Hongsong Zhu Limin Sun 《Cybersecurity》 CSCD 2019年第1期225-238,共14页
IP geolocation determines geographical location by the IP address of Internet hosts.IP geolocation is widely used by target advertising,online fraud detection,cyber-attacks attribution and so on.It has gained much mor... IP geolocation determines geographical location by the IP address of Internet hosts.IP geolocation is widely used by target advertising,online fraud detection,cyber-attacks attribution and so on.It has gained much more attentions in these years since more and more physical devices are connected to cyberspace.Most geolocation methods cannot resolve the geolocation accuracy for those devices with few landmarks around.In this paper,we propose a novel geolocation approach that is based on common routers as secondary landmarks(Common Routers-based Geolocation,CRG).We search plenty of common routers by topology discovery among web server landmarks.We use statistical learning to study localized(delay,hop)-distance correlation and locate these common routers.We locate the accurate positions of common routers and convert them as secondary landmarks to help improve the feasibility of our geolocation system in areas that landmarks are sparsely distributed.We manage to improve the geolocation accuracy and decrease the maximum geolocation error compared to one of the state-of-the-art geolocation methods.At the end of this paper,we discuss the reason of the efficiency of our method and our future research. 展开更多
关键词 IP geolocation network topology discovery Web landmarks Relative latency Statistical learning
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Towards IP geolocation with intermediate routers based on topology discovery
2
作者 Zhihao Wang Hong Li +3 位作者 Qiang Li Wei Li Hongsong Zhu Limin Sun 《Cybersecurity》 2018年第1期500-513,共14页
IP geolocation determines geographical location by the IP address of Internet hosts.IP geolocation is widely used by target advertising,online fraud detection,cyber-attacks attribution and so on.It has gained much mor... IP geolocation determines geographical location by the IP address of Internet hosts.IP geolocation is widely used by target advertising,online fraud detection,cyber-attacks attribution and so on.It has gained much more attentions in these years since more and more physical devices are connected to cyberspace.Most geolocation methods cannot resolve the geolocation accuracy for those devices with few landmarks around.In this paper,we propose a novel geolocation approach that is based on common routers as secondary landmarks(Common Routers-based Geolocation,CRG).We search plenty of common routers by topology discovery among web server landmarks.We use statistical learning to study localized(delay,hop)-distance correlation and locate these common routers.We locate the accurate positions of common routers and convert them as secondary landmarks to help improve the feasibility of our geolocation system in areas that landmarks are sparsely distributed.We manage to improve the geolocation accuracy and decrease the maximum geolocation error compared to one of the state-of-the-art geolocation methods.At the end of this paper,we discuss the reason of the efficiency of our method and our future research. 展开更多
关键词 IP geolocation network topology discovery Web landmarks Relative latency Statistical learning
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