Assessing Co-Locality of IP Blocks. Gharaibeh, M., Zhang, H., Papadopoulos, C., & Heidemann, J. In Proceedings of the 19thIEEE Global Internet Symposium, San Francisco, CA, USA, April, 2016. Springer. ![Assessing Co-Locality of IP Blocks [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper abstract bibtex Many IP Geolocation services and applications assume that all IP addresses with the same /24 IPv4 prefix (a \emph/24 block) are in the same location. For blocks that contain addresses in very different locations (such blocks identifying network backbones), this assumption can result in large geolocation error. This paper evaluates this assumption using a large dataset of 1.41M /24 blocks extracted from a delay measurements dataset for the entire responsive IPv4 address space. We use hierarchal clustering to find clusters of IP addresses with similar observed delay measurements within /24 blocks. Blocks with multiple clusters often span different geographic locations. We evaluate this claim against two ground-truth datasets, confirming that 93% of identified multi-cluster blocks are true positives with multiple locations, while only 13% of blocks identified as single-cluster appear to be multi-location in ground truth. Applying the clustering process to the whole dataset suggests that about 17% (247K) of blocks are likely multi-location.
@InProceedings{Gharaibeh16a,
author = "Manaf Gharaibeh and Han Zhang and Christos Papadopoulos and John Heidemann",
title = "Assessing Co-Locality of {IP} Blocks",
booktitle = "Proceedings of the " # "19th" # " IEEE Global Internet Symposium",
year = 2016,
sortdate = "2016-04-11",
project = "ant, lacrend, retrofuture",
jsubject = "topology_modeling",
month = apr,
address = "San Francisco, CA, USA",
publisher = "Springer",
jlocation = "johnh: pafile",
url = "https://ant.isi.edu/%7ejohnh/PAPERS/Gharaibeh16a.html",
pdfurl = "https://ant.isi.edu/%7ejohnh/PAPERS/Gharaibeh16a.pdf",
myorganization = "USC/Information Sciences Institute",
copyrightholder = "Springer",
copyrightterms = "An author may self-archive an author-created version of his/her article on his/her own website and or in his/her institutional repository. He/she may also deposit this version on his/her funder's or funder's designated repository at the funder's request or as a result of a legal obligation, provided it is not made publicly available until 12 months after official publication. He/she may not use the publisher's PDF version, which is posted on \url{www.springerlink.com}, for the purpose of self-archiving or deposit. Furthermore, the author may only post his/her version provided acknowledgement is given to the original source of publication and a link is inserted to the published article on Springer's website. The link must be accompanied by the following text: ``The final publication is available at www.springerlink.com''. " ,
abstract = "Many IP Geolocation services and applications assume that all IP addresses with
the same /24 IPv4 prefix (a \emph{/24 block}) are in the same location. For
blocks that contain addresses in very different locations (such blocks
identifying network backbones), this assumption can result in large geolocation
error. This paper evaluates this assumption using a large dataset of 1.41M /24
blocks extracted from a delay measurements dataset for the entire responsive
IPv4 address space. We use hierarchal clustering to find clusters of IP
addresses with similar observed delay measurements within /24 blocks. Blocks
with multiple clusters often span different geographic locations. We evaluate
this claim against two ground-truth datasets, confirming that 93\% of
identified multi-cluster blocks are true positives with multiple locations,
while only 13\% of blocks identified as single-cluster appear to be
multi-location in ground truth. Applying the clustering process to the whole
dataset suggests that about 17\% (247K) of blocks are likely multi-location."
,}
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He/she may also deposit this version on his/her funder's or funder's designated repository at the funder's request or as a result of a legal obligation, provided it is not made publicly available until 12 months after official publication. He/she may not use the publisher's PDF version, which is posted on ˘rlwww.springerlink.com, for the purpose of self-archiving or deposit. Furthermore, the author may only post his/her version provided acknowledgement is given to the original source of publication and a link is inserted to the published article on Springer's website. The link must be accompanied by the following text: ``The final publication is available at www.springerlink.com''. ","abstract":"Many IP Geolocation services and applications assume that all IP addresses with the same /24 IPv4 prefix (a \\emph/24 block) are in the same location. For blocks that contain addresses in very different locations (such blocks identifying network backbones), this assumption can result in large geolocation error. This paper evaluates this assumption using a large dataset of 1.41M /24 blocks extracted from a delay measurements dataset for the entire responsive IPv4 address space. We use hierarchal clustering to find clusters of IP addresses with similar observed delay measurements within /24 blocks. Blocks with multiple clusters often span different geographic locations. We evaluate this claim against two ground-truth datasets, confirming that 93% of identified multi-cluster blocks are true positives with multiple locations, while only 13% of blocks identified as single-cluster appear to be multi-location in ground truth. Applying the clustering process to the whole dataset suggests that about 17% (247K) of blocks are likely multi-location.","bibtex":"@InProceedings{Gharaibeh16a,\n\tauthor = \t\"Manaf Gharaibeh and Han Zhang and Christos Papadopoulos and John Heidemann\",\n\ttitle = \t\"Assessing Co-Locality of {IP} Blocks\",\n\tbooktitle = \t\"Proceedings of the \" # \"19th\" # \" IEEE Global Internet Symposium\",\n\tyear = \t\t2016,\n\tsortdate = \"2016-04-11\",\n\tproject = \"ant, lacrend, retrofuture\",\n\tjsubject = \"topology_modeling\",\n\tmonth = \tapr,\n\taddress = \t\"San Francisco, CA, USA\",\n\tpublisher = \t\"Springer\",\n\tjlocation = \t\"johnh: pafile\",\n\turl =\t\t\"https://ant.isi.edu/%7ejohnh/PAPERS/Gharaibeh16a.html\",\n\tpdfurl =\t\t\"https://ant.isi.edu/%7ejohnh/PAPERS/Gharaibeh16a.pdf\",\n\tmyorganization =\t\"USC/Information Sciences Institute\",\n\tcopyrightholder = \"Springer\",\n\tcopyrightterms = \"An author may self-archive an author-created version of his/her article on his/her own website and or in his/her institutional repository. He/she may also deposit this version on his/her funder's or funder's designated repository at the funder's request or as a result of a legal obligation, provided it is not made publicly available until 12 months after official publication. He/she may not use the publisher's PDF version, which is posted on \\url{www.springerlink.com}, for the purpose of self-archiving or deposit. Furthermore, the author may only post his/her version provided acknowledgement is given to the original source of publication and a link is inserted to the published article on Springer's website. The link must be accompanied by the following text: ``The final publication is available at www.springerlink.com''. \" ,\t\n\tabstract = \"Many IP Geolocation services and applications assume that all IP addresses with\nthe same /24 IPv4 prefix (a \\emph{/24 block}) are in the same location. For\nblocks that contain addresses in very different locations (such blocks\nidentifying network backbones), this assumption can result in large geolocation\nerror. This paper evaluates this assumption using a large dataset of 1.41M /24\nblocks extracted from a delay measurements dataset for the entire responsive\nIPv4 address space. We use hierarchal clustering to find clusters of IP\naddresses with similar observed delay measurements within /24 blocks. Blocks\nwith multiple clusters often span different geographic locations. We evaluate\nthis claim against two ground-truth datasets, confirming that 93\\% of\nidentified multi-cluster blocks are true positives with multiple locations,\nwhile only 13\\% of blocks identified as single-cluster appear to be\nmulti-location in ground truth. Applying the clustering process to the whole\ndataset suggests that about 17\\% (247K) of blocks are likely multi-location.\"\n,}\n\n","author_short":["Gharaibeh, M.","Zhang, H.","Papadopoulos, C.","Heidemann, J."],"bibbaseid":"gharaibeh-zhang-papadopoulos-heidemann-assessingcolocalityofipblocks-2016","role":"author","urls":{"Paper":"https://ant.isi.edu/%7ejohnh/PAPERS/Gharaibeh16a.html"},"metadata":{"authorlinks":{}}},"bibtype":"inproceedings","biburl":"https://bibbase.org/f/dHevizJoWEhWowz8q/johnh-2023-2.bib","dataSources":["YLyu3mj3xsBeoqiHK","fLZcDgNSoSuatv6aX","fxEParwu2ZfurScPY","7nuQvtHTqKrLmgu99"],"keywords":[],"search_terms":["assessing","locality","blocks","gharaibeh","zhang","papadopoulos","heidemann"],"title":"Assessing Co-Locality of IP Blocks","year":2016}