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KOMOSNÝ, D.; REHMAN, S.
Original Title
Survival Analysis and Prediction Model of IP Address Assignment Duration
English Title
Type
WoS Article
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.
English abstract
Keywords
IP address; survival; lifetime; host; assignment; security; IPv4; IPv6
Key words in English
Authors
RIV year
2021
Released
04.09.2020
Publisher
IEEE
ISBN
2169-3536
Periodical
IEEE Access
Volume
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" }
Documents
09186701