Publication detail

Survival Analysis and Prediction Model of IP Address Assignment Duration

KOMOSNÝ, D. REHMAN, S.

Original Title

Survival Analysis and Prediction Model of IP Address Assignment Duration

Type

journal article in Web of Science

Language

English

Original 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.

Keywords

IP address; survival; lifetime; host; assignment; security; IPv4; IPv6

Authors

KOMOSNÝ, D.; REHMAN, S.

Released

4. 9. 2020

Publisher

IEEE

ISBN

2169-3536

Periodical

IEEE Access

Year of study

8

Number

1

State

United States of America

Pages from

162507

Pages to

162515

Pages count

9

URL

https://ieeexplore.ieee.org/document/9186701

Full text in the Digital Library

http://hdl.handle.net/11012/195582

BibTex

@article{BUT164961,
  author="Dan {Komosný} and Saeed {Rehman}",
  title="Survival Analysis and Prediction Model of IP Address Assignment Duration",
  journal="IEEE Access",
  year="2020",
  volume="8",
  number="1",
  pages="162507--162515",
  doi="10.1109/ACCESS.2020.3021760",
  issn="2169-3536",
  url="https://ieeexplore.ieee.org/document/9186701"
}