Survival Analysis and Prediction Model of IP Address Assignment Duration

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 worldw...

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Main Authors: Dan Komosny, Saeed Ur Rehman
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9186701/
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author Dan Komosny
Saeed Ur Rehman
author_facet Dan Komosny
Saeed Ur Rehman
author_sort Dan Komosny
collection DOAJ
description 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.
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spelling doaj.art-12de9db6420340d58332fdc4da7b97c52022-12-21T18:20:12ZengIEEEIEEE Access2169-35362020-01-01816250716251510.1109/ACCESS.2020.30217609186701Survival Analysis and Prediction Model of IP Address Assignment DurationDan Komosny0https://orcid.org/0000-0003-4565-7703Saeed Ur Rehman1https://orcid.org/0000-0002-2159-865XDepartment of Telecommunications, Brno University of Technology, Brno, Czech RepublicCollege of Science and Engineering, Flinders University, Adelaide, SA, AustraliaIP 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.https://ieeexplore.ieee.org/document/9186701/IP addresssurvivallifetimehostassignmentsecurity
spellingShingle Dan Komosny
Saeed Ur Rehman
Survival Analysis and Prediction Model of IP Address Assignment Duration
IEEE Access
IP address
survival
lifetime
host
assignment
security
title Survival Analysis and Prediction Model of IP Address Assignment Duration
title_full Survival Analysis and Prediction Model of IP Address Assignment Duration
title_fullStr Survival Analysis and Prediction Model of IP Address Assignment Duration
title_full_unstemmed Survival Analysis and Prediction Model of IP Address Assignment Duration
title_short Survival Analysis and Prediction Model of IP Address Assignment Duration
title_sort survival analysis and prediction model of ip address assignment duration
topic IP address
survival
lifetime
host
assignment
security
url https://ieeexplore.ieee.org/document/9186701/
work_keys_str_mv AT dankomosny survivalanalysisandpredictionmodelofipaddressassignmentduration
AT saeedurrehman survivalanalysisandpredictionmodelofipaddressassignmentduration