{"id":844,"date":"2016-04-18T08:35:43","date_gmt":"2016-04-18T15:35:43","guid":{"rendered":"https:\/\/ant.isi.edu\/blog\/?p=844"},"modified":"2020-10-19T09:55:51","modified_gmt":"2020-10-19T16:55:51","slug":"new-workshop-paper-assessing-co-locality-of-ip-blocks-in-gi-2016","status":"publish","type":"post","link":"https:\/\/ant.isi.edu\/blog\/?p=844","title":{"rendered":"new workshop paper &#8220;Assessing Co-Locality of IP Blocks&#8221; in GI 2016"},"content":{"rendered":"<p>The paper &#8220;Assessing Co-Locality of IP Blocks&#8221; appeared in the 19th IEEE&nbsp;&nbsp;<a href=\"https:\/\/www.cs.helsinki.fi\/group\/eit-sdn\/gi2016\/program.html\" target=\"_blank\" rel=\"noopener noreferrer\">Global Internet Symposium<\/a> on April 11, 2016 in&nbsp;San Francisco, CA, USA and is available at (<a href=\"http:\/\/www.cs.colostate.edu\/~manafgh\/publications\/Assessing-Co-Locality-of-IP-Block-GI2016.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">http:\/\/www.cs.colostate.edu\/~manafgh\/publications\/Assessing-Co-Locality-of-IP-Block-GI2016.pdf<\/a>). The datasets are available at (<a href=\"https:\/\/ant.isi.edu\/datasets\/geolocation\/\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/ant.isi.edu\/datasets\/geolocation\/<\/a>).<\/p>\n<p>From the abstract:<\/p>\n<div class=\"page\" title=\"Page 1\">\n<div class=\"layoutArea\">\n<div class=\"column\">\n<p style=\"padding-left: 60px\"><a href=\"https:\/\/ant.isi.edu\/blog\/wp-content\/uploads\/2016\/04\/isi_all_blocks_clustersCount.png\" rel=\"attachment wp-att-846\"><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-846 alignright\" src=\"https:\/\/ant.isi.edu\/blog\/wp-content\/uploads\/2016\/04\/isi_all_blocks_clustersCount-300x200.png\" alt=\"isi_all_blocks_clustersCount\" width=\"300\" height=\"200\" srcset=\"https:\/\/ant.isi.edu\/blog\/wp-content\/uploads\/2016\/04\/isi_all_blocks_clustersCount-300x200.png 300w, https:\/\/ant.isi.edu\/blog\/wp-content\/uploads\/2016\/04\/isi_all_blocks_clustersCount-1024x683.png 1024w, https:\/\/ant.isi.edu\/blog\/wp-content\/uploads\/2016\/04\/isi_all_blocks_clustersCount-768x512.png 768w, https:\/\/ant.isi.edu\/blog\/wp-content\/uploads\/2016\/04\/isi_all_blocks_clustersCount.png 1350w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><em>Many IP Geolocation services and applications assume that all IP addresses within the same \/24 IPv4 prefix (a \/24 block) reside in close physical proximity. For blocks that contain addresses in very different locations (such as blocks identifying network backbones), this assumption can result in a large geolocation error. In this paper we evaluate the co-location assumption. We first develop and validate a hierarchical clustering method to find clusters of IP addresses with similar observed delay measurements within \/24 blocks. We validate our methodology against two ground-truth datasets, confirming that 93% of the identified multi-cluster blocks are true positives with multiple physical locations and an upper bound for false positives of only about 5.4%. We then apply our methodology to a large dataset of 1.41M \/24 blocks extracted from a delay-measurement study of the entire responsive IPv4 address space. We find that about 247K (17%) out of 1.41M blocks are not co-located, thus quantifying the error in the \/24 block co-location assumption.<\/em><\/p>\n<\/div>\n<p>The work in this paper is by Manaf Gharaibeh, Han Zhang, Christos Papadopoulos (Colorado State University) and&nbsp;John Heidemann&nbsp;(USC\/ISI).<\/p>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>The paper &#8220;Assessing Co-Locality of IP Blocks&#8221; appeared in the 19th IEEE&nbsp;&nbsp;Global Internet Symposium on April 11, 2016 in&nbsp;San Francisco, CA, USA and is available at (http:\/\/www.cs.colostate.edu\/~manafgh\/publications\/Assessing-Co-Locality-of-IP-Block-GI2016.pdf). The datasets are available at (https:\/\/ant.isi.edu\/datasets\/geolocation\/). From the abstract: Many IP Geolocation services and applications assume that all IP addresses within the same \/24 IPv4 prefix (a \/24 [&hellip;]<\/p>\n","protected":false},"author":624,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[284,282],"tags":[143,89,71,47,32,58,67,8,22,10,5,41,68,57,38],"class_list":["post-844","post","type-post","status-publish","format-standard","hentry","category-papers-publications","category-publications","tag-co-locality","tag-csu","tag-datasets","tag-geolocation","tag-internet-topology","tag-isi","tag-lacrend","tag-lander","tag-measurement-systems","tag-network-datasets","tag-papers","tag-predict","tag-retro-future","tag-usc","tag-workshop"],"_links":{"self":[{"href":"https:\/\/ant.isi.edu\/blog\/index.php?rest_route=\/wp\/v2\/posts\/844","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ant.isi.edu\/blog\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ant.isi.edu\/blog\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ant.isi.edu\/blog\/index.php?rest_route=\/wp\/v2\/users\/624"}],"replies":[{"embeddable":true,"href":"https:\/\/ant.isi.edu\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=844"}],"version-history":[{"count":6,"href":"https:\/\/ant.isi.edu\/blog\/index.php?rest_route=\/wp\/v2\/posts\/844\/revisions"}],"predecessor-version":[{"id":1619,"href":"https:\/\/ant.isi.edu\/blog\/index.php?rest_route=\/wp\/v2\/posts\/844\/revisions\/1619"}],"wp:attachment":[{"href":"https:\/\/ant.isi.edu\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=844"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ant.isi.edu\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=844"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ant.isi.edu\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=844"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}