<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Cicalese, Danilo</style></author><author><style face="normal" font="default" size="100%">Auge, Jordan</style></author><author><style face="normal" font="default" size="100%">Joumblatt, Diana</style></author><author><style face="normal" font="default" size="100%">Rossi, Dario</style></author><author><style face="normal" font="default" size="100%">Friedman, Timur</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Anycast census and geolocation</style></title><secondary-title><style face="normal" font="default" size="100%">7th Workshop on Active Internet Measurements (AIMS 2015)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2015</style></year><pub-dates><date><style  face="normal" font="default" size="100%">April 2015</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.enst.fr/ drossi/paper/rossi15aims.pdf</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Cicalese, Danilo</style></author><author><style face="normal" font="default" size="100%">Joumblatt, Diana</style></author><author><style face="normal" font="default" size="100%">Rossi, Dario</style></author><author><style face="normal" font="default" size="100%">Buob, Marc-Olivier</style></author><author><style face="normal" font="default" size="100%">Auge, Jordan</style></author><author><style face="normal" font="default" size="100%">Friedman, Timur</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Fistful of Pings: Accurate and Lightweight Anycast Enumeration and Geolocation</style></title><secondary-title><style face="normal" font="default" size="100%">IEEE INFOCOM</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2015</style></year><pub-dates><date><style  face="normal" font="default" size="100%">04/2015</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.enst.fr/ drossi/paper/rossi15infocom.pdf</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Use of IP-layer anycast has increased in the last few years: once relegated to DNS root and top-level domain servers, anycast is now commonly used to assist distribution of general purpose content by CDN providers. Yet, the measurement techniques for discovering anycast replicas have been designed around DNS, limiting their usefulness to this particular service. This raises the need for protocol agnostic methodologies, that should additionally be as lightweight as possible in order to scale up anycast service discovery. This is precisely the aim of this paper, which proposes a new method for exhaustive and accurate enumeration and city-level geolocation of anycast instances, requiring only a handful of latency measurements from a set of known vantage points. Our method exploits an iterative workflow that enumerates (an optimization problem) and geolocates (a classification problem) anycast replicas. We thoroughly validate our methodology on available ground truth (several DNS root servers), using multiple measurement infrastructures (PlanetLab, RIPE), obtaining extremely accurate results (even with simple algorithms, that we compare with the global optimum), that we make available to the scientific community. Compared to the state of the art work that appeared in INFOCOM 2013 and IMC 2013, our technique (i) is not bound to a specific protocol, (ii) requires 1000 times fewer vantage points, not only (iii) achieves over 50% recall but also (iv) accurately identifies the city-level geolocation for over 78% of the enumerated servers, with (v) a mean geolocation error of 361 km for all enumerated servers.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Cicalese, Danilo</style></author><author><style face="normal" font="default" size="100%">Joumblatt, Diana</style></author><author><style face="normal" font="default" size="100%">Rossi, Dario</style></author><author><style face="normal" font="default" size="100%">Buob, Marc-Olivier</style></author><author><style face="normal" font="default" size="100%">Auge, Jordan</style></author><author><style face="normal" font="default" size="100%">Friedman, Timur</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Lightweight Anycast Enumeration and Geolocation</style></title><secondary-title><style face="normal" font="default" size="100%">IEEE INFOCOM, Demo Session</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2015</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.enst.fr/ drossi/paper/rossi15infocom-b.pdf</style></url></web-urls></urls><pub-location><style face="normal" font="default" size="100%">Hong Kong, China</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Several Internet services such as CDNs, DNS name servers, and sinkholes use IP-layer anycast to reduce user response times and increase robustness with respect to network failures and denial of service attacks. However, current geolocation tools fail with anycast IP addresses. In our recent work [1], we remedy to this by developing an anycast detection, enumeration, and geolocation technique based on a set of delay measurements from a handful of geographically distributed vantage points. The technique (i) detects if an IP is anycast, (ii) enumerates replicas by finding the maximum set of non-overlapping disks (i.e., areas centered around vantage points), and (iii) geolocates the replicas by solving a classification problem and assigning the server location to the most likely city. We propose to demo this technique. In particular, we visually show how to detect an anycast IP, enumerate its replicas, and geolocate them on a map. The demo allows to browse previously geolocated services, as well as to explore new targets on demand.&lt;/p&gt;</style></abstract></record></records></xml>