ImMuNE: Improved Multilateration in Noisy Environments

Mathieu Champion, Marc Dacier, Elisa Chiapponi*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations


Identifying an attacker is a key factor to mitigate ongoing attacks. To evade localization, a single compromised machine can hide for months behind millions of available residential ip proxies. Without knowing the ip address of the machine, registration-based geolocation methods cannot be applied.Measurement-based methods have been proposed to estimate the location of a target without using its ip address. These methods use Round Trip Time (rtt) values and network speed modeling. They estimate a distance between the target and other observation points with known locations, called landmarks. However, most of these methods require additional information, whether it is on the topology of the network or the characteristics of the landmarks.In this paper, we present immune, a measurement-based technique which can estimate a location with only a few Round Trip Time measurements between a target and landmarks, even when some of these measures are inflated by temporary network congestion.Leveraging a previously made measurement campaign, we present promising results based on 11 millions tcp connections collected over a period of 4 months.

Original languageEnglish (US)
Title of host publicationProceedings of the 2022 IEEE Conference on Cloud Networking 2022, CloudNet 2022
EditorsStefano Secci, Ramakrishnan Durairajan, Leonardo Linguaglossa, Noriaki Kamiyama, Michele Nogueira, Stephane Rovedakis
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781665486279
StatePublished - 2022
Event11th IEEE International Conference on Cloud Networking, CloudNet 2022 - Paris, France
Duration: Nov 7 2022Nov 10 2022

Publication series

NameProceedings of the 2022 IEEE Conference on Cloud Networking 2022, CloudNet 2022


Conference11th IEEE International Conference on Cloud Networking, CloudNet 2022

Bibliographical note

Publisher Copyright:
© 2022 IEEE.


  • Geolocalisation
  • Internet measurement
  • multilateration
  • RTT

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems and Management


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