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UID:676@lincs.fr
DTSTART;TZID=Europe/Paris:20211110T104500
DTEND;TZID=Europe/Paris:20211110T120000
DTSTAMP:20211110T112245Z
URL:https://www.lincs.fr/events/hloc-hints-based-geolocation-leveraging-mu
 ltiple-measurement-frameworks/
SUMMARY:HLOC: Hints-based geolocation leveraging multiple measurement
 frameworks
DESCRIPTION:Dear all\, The Internet Measurement reading group will meet on
 Wednesday 10th.\n\nIn this session\, Maxime Mouchet (Sorbonne Université\,
 LIP6) will present HLOC: Hints-based geolocation leveraging multiple
 measurement frameworks  (Quirin Scheitle et al.\, TMA 2017).\n\nI
 encourage you to join us at 10:45 for a virtual coffee break\, so that
 the talk begins
 at 11:00.\nhttps://telecom-paris.zoom.us/j/98157419805?pwd=eHNMNHZqSE1samt
 yUmVNRE1TZjRpdz09\n\nSlides\n\nAbstract\nGeographically locating an IP
 address is of interest for many purposes. There are two major ways to
 obtain the location of an IP address: querying commercial databases or
 conducting latency measurements. For structural Internet nodes\, such as
 routers\, commercial databases are limited by low accuracy\, while current
 measurement-based approaches overwhelm users with setup overhead and
 scalability issues. In this work we present our system HLOC\, aiming to
 combine the ease of database use with the accuracy of latency measurements.
 We evaluate HLOC on a comprehensive router data set of 1.4M IPv4 and 183k
 IPv6 routers. HLOC first extracts location hints from rDNS names\, and then
 conducts multi-tier latency measurements. Configuration complexity is
 minimized by using publicly available large-scale measurement frameworks
 such as RIPE Atlas. Using this measurement\, we can confirm or disprove the
 location hints found in domain names. We publicly release HLOC's
 ready-to-use source code\, enabling researchers to easily increase
 geolocation accuracy with minimum overhead.
CATEGORIES:Internet Measurement,Youtube
LOCATION:Paris-Rennes Room (EIT Digital)\, 23 avenue d'Italie\, 75013
 Paris\, France
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=23 avenue d'Italie\, 75013
 Paris\, France;X-APPLE-RADIUS=100;X-TITLE=Paris-Rennes Room (EIT
 Digital):geo:0,0
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TZID:Europe/Paris
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DTSTART:20211031T020000
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TZOFFSETTO:+0100
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