Survival Analysis and Prediction Model of IP Address Assignment Duration

Dan Komosny, Saeed Ur Rehman

Research output: Contribution to journalArticle

Abstract

IP 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.
Original languageEnglish
Pages (from-to)162507-162515
Number of pages9
JournalIEEE Access
Volume8
DOIs
Publication statusPublished - Sep 2020

Bibliographical note

This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/

Keywords

  • IP Address
  • survival analysis
  • survival parametric
  • assignment duration
  • fraud prevention
  • authentication

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