Effectiveness of DCFM on different mobility models

Nadav Schweitzer, Ariel Stulman

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

Abstract

Simulation based network protocol testing requires that one model reality correctly. Mis-modelling can render results invalid. Hence, one must determine the context in which a solution is to be implemented for the results to be meaningful. In this work, we investigate whether the security augmentation technique DCFM (denial contradictions with fictitious nodes) for OLSR based mobile ad-hoc networks (MANET) is valid for multiple contexts. We accomplish this by running the node isolation attack and DCFM defense on a variety of mobility models, comparing the results. We show that for most models the technique performs well, while for a specific scenario (e.g. street based) it fails. Additionally we describe the infrastructure that was built to support the street based simulations.

Original languageEnglish
Title of host publicationProceedings - 2020 International Conference on Wireless Networks and Mobile Communications, WINCOM 2020
EditorsMarwane Ayaida, Hacene Fouchal, Mohamed El Kamili, Khalil Ibrahimi, Abdellatif Kobbane
PublisherInstitute of Electrical and Electronics Engineers
ISBN (Electronic)9781728190150
DOIs
StatePublished - 28 Oct 2020
Externally publishedYes
Event2020 International Conference on Wireless Networks and Mobile Communications, WINCOM 2020 - Virtual, Reims, France
Duration: 28 Oct 202029 Oct 2020

Publication series

NameProceedings - 2020 International Conference on Wireless Networks and Mobile Communications, WINCOM 2020

Conference

Conference2020 International Conference on Wireless Networks and Mobile Communications, WINCOM 2020
Country/TerritoryFrance
CityVirtual, Reims
Period28/10/2029/10/20

Keywords

  • DCFM
  • Mobility Models
  • OLSR

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Safety, Risk, Reliability and Quality

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