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dc.contributor.authorKomosný, Dancs
dc.contributor.authorRehman, Saeedcs
dc.date.accessioned2020-10-30T11:55:21Z
dc.date.available2020-10-30T11:55:21Z
dc.date.issued2020-09-04cs
dc.identifier.citationIEEE Access. 2020, vol. 8, issue 1, p. 162507-162515.en
dc.identifier.issn2169-3536cs
dc.identifier.other164961cs
dc.identifier.urihttp://hdl.handle.net/11012/195582
dc.description.abstractIP addresses of end hosts change when they are re-assigned. We apply survival analysis, which is commonly used in healthcare, on IP addresses to predict their assignment duration (their lifetime). We propose a survival parametric model based on a history of 6 years of address assignments on a worldwide scale. Our model outperforms alternative models both from short-term and long-term views. The custom modelling is also discussed as address assignment varies across Internet service providers (ISPs) and autonomous systems (ASs). A predictable address assignment duration has many applications, including source reputation, topology mapping, and geolocation. We describe a use-case in fraud prevention, where the proposed model is used as a trigger for two-factor authentication. The created dataset of addresses assignment durations is made publicly available.en
dc.formattextcs
dc.format.extent162507-162515cs
dc.format.mimetypeapplication/pdfcs
dc.language.isoencs
dc.publisherIEEEcs
dc.relation.ispartofIEEE Accesscs
dc.relation.urihttps://ieeexplore.ieee.org/document/9186701cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectIP addressen
dc.subjectsurvivalen
dc.subjectlifetimeen
dc.subjecthosten
dc.subjectassignmenten
dc.subjectsecurityen
dc.subjectIPv4en
dc.subjectIPv6en
dc.titleSurvival Analysis and Prediction Model of IP Address Assignment Durationen
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav telekomunikacícs
sync.item.dbidVAV-164961en
sync.item.dbtypeVAVen
sync.item.insts2020.10.30 12:55:21en
sync.item.modts2020.10.30 12:14:29en
dc.coverage.issue1cs
dc.coverage.volume8cs
dc.identifier.doi10.1109/ACCESS.2020.3021760cs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2169-3536/cs
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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Creative Commons Attribution 4.0 International
Except where otherwise noted, this item's license is described as Creative Commons Attribution 4.0 International