A human-centred model for network flow analysis

Thibaud Merien, David Brosset, Xavier Bellekens, Christophe Claramunt

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

1 Citation (Scopus)
3 Downloads (Pure)

Abstract

Computer networks are ubiquitous and growing exponentially, with a predicted 50 billion devices connected by 2050. This tremendous growth dramatically increases the attack surface of both private and public networks. These attacks often influence the behaviour of the system, leading to the detection of the attack. In this manuscript we model the path of an attack through the network by graphs. The model developed aims to better integer attackers intentions. Using the data produced by 5 honeypots, we apply our model. The preliminary results show that the approach is useful to rapidly detect anomalies in the experiment dataset.

Original languageEnglish
Title of host publication2018 2nd Cyber Security in Networking Conference (CSNet)
Place of PublicationPiscataway, NJ.
PublisherIEEE
Number of pages6
ISBN (Print)9781538670453
DOIs
Publication statusPublished - 7 Jan 2019
Event2nd Cyber Security in Networking Conference, CSNet 2018 - Paris, France
Duration: 24 Oct 201826 Oct 2018

Conference

Conference2nd Cyber Security in Networking Conference, CSNet 2018
CountryFrance
CityParis
Period24/10/1826/10/18

Keywords

  • computer networks
  • attack detection
  • system behaviour

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