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Ip locator accurate
Ip locator accurate





ip locator accurate ip locator accurate

Figure 1 - Overview of the LG-based IP geolocation approach.įigure 2 compares economy-level paths inferred by MaxMind and IP2Location (top part) to the path inferred by the LG-based approach (bottom part). We proceed to select another LG, if the previous one proved far away from the IP under test. We consider the IP in the same economy as the LG if the traceroute confirms a topological proximity (for example, within a few router level hops and a latency of sub-20ms). Our current approach relies on publicly accessible looking glasses (LG) as VPs. A VP is judged suitable if it lies within the IP holder’s AS and in close proximity to the initially guessed location. Using existing methods (whois service, DNS names and geolocation approaches), we found the IP space owner and the possible location of the IP address, which we further used to choose a vantage point (VP) from which to traceroute to the target IP. We propose a novel active measurement-based approach, which hinges on a simple idea: a location of a route can be greatly narrowed down if it is probed from within its AS. This, in turn, has security implications as it indicates that, depending on popular geolocation databases, end-hosts might be unaware of the economies their Internet traffic is traversing - something we found among our collected paths, with a high percentage of both IPv4 and IPv6 paths appearing to be detoured from Europe through the United State.įurther, we found about 77% of IPv4 and 65% of IPv6 economy-level mappings miss at least one economy along the path and that both IP paths within the same continent (short-haul paths) as well as between different continents appear to miss economies (long-haul paths). IP geolocation disagreements can falsely indicate path tromboning or path detours, as well as miss economies along the IP paths.

  • Merger and acquisition of organizations is a key source of IP geolocation inaccuracies.ĭo IP geolocation disagreements affect the end-to-end IP path geomappings?.
  • IPs owned by organizations with international presence are often geolocated incorrectly.
  • MaxMind and IP2Location appear to use information from the whois records (economy, network name) to build their IP-to-economy mappings.
  • Using these disagreements we identified three possible causes of erroneous IP geolocation: Moreover, for a significant percentage of these IPs, this economy-level geomapping coincides with the economy where the IP space is registered (which we extracted from the RIR allocation and assignment files).įor a small percentage of IPs, the geomappings either completely or partially disagreed. Most of the IPs geolocated by MaxMind and IP2Location are most likely mapped to the same economy. The use of HLOC is also limited by the ability to extract correct geo-hints from pointer records (PTRs) of the measured IPs. However, IPmap and HLOC have limited coverage, which can be explained by the dependency on the number of vantage points for the RTT measurements. MaxMind and IP2Location cover at least 80% of the IP addresses that are part of the collected paths. We evaluated the economy-level accuracy of two dedicated IP geolocation datasets ( MaxMind and IP2Location) and two RTT-based geolocation methods ( HLOC and RIPE’s IPmap), using end-to-end IPv4 and IPv6 paths between 30 vantage points located in seven economies (Canada, China, Germany, Netherlands, Norway, Sweden, and the USA). Our findings highlight the sources of IP-geolocation disagreements Further, lack of coverage of the geo-datasets and IP-to-economy inaccuracies can add or miss economies from the economy-level end-to-end path. However, geolocation databases tend to erroneously geolocate IPs that belong to Autonomous Systems (ASes) with global presence and IPs that change ownership due to merger and acquisition. We also found that popular geolocation services rely heavily on data published by the Regional Internet Registries (RIRs), as geolocation mappings from these services match the geolocation from the RIR delegation files. We found there are inaccuracies in the existing geolocation approaches when mapping end-to-end Internet paths to physical locations, with 77% of IPv4 and 65% of IPv6 economy-level mappings missing at least one economy along the path of our dataset. Our recent study at SimulaMet sought to investigate the accuracy and difference between these approaches. The proliferation of online services comprising globally-spread micro services has security and performance implications.įor this reason, understanding the underlying physical paths connecting end points has become important and given rise to numerous approaches for inferring the location of infrastructure IP addresses.







    Ip locator accurate