Publication Details

Detecting IP-spoofing by modelling history of IP address entry points

KOVÁČIK, M.; KAJAN, M.; ŽÁDNÍK, M. Detecting IP-spoofing by modelling history of IP address entry points. Emerging Management Mechanisms for the Future Internet. Lecture Notes in Computer Science. Lecture Notes in Computer Science. Barcelona: Springer Verlag, 2013. p. 73-83. ISBN: 978-3-642-38997-9. ISSN: 0302-9743.
Czech title
Detekce IP-spoofingu modelováním historie vstupních bodů IP adres
Type
conference paper
Language
English
Authors
Kováčik Michal, Ing.
Kajan Michal, Ing.
Žádník Martin, Ing., Ph.D. (DCSY)
Keywords

IP spoofing detection, entry points, network modeling

Abstract

Since most of the networks do not apply source IP filtering rules to its outgoing traffic an attacker may insert an arbitrary source IP address in an outgoing packet, so called IP-spoofing. This paper elaborates on a possibility to detect IP spoofing in networks with more than one entry point. A novel detection scheme is proposed. It is based on an analysis of NetFlow data collected at the entry points.The scheme assumes that the network traffic originating from a certain source network enters the observed network via relatively stable set of points which is lower than the total number of entry points. The scheme has been tested on data from a real network.

Published
2013
Pages
73–83
Journal
Lecture Notes in Computer Science, vol. 7943, no. 06, ISSN 0302-9743
Proceedings
Emerging Management Mechanisms for the Future Internet
Series
Lecture Notes in Computer Science
ISBN
978-3-642-38997-9
Publisher
Springer Verlag
Place
Barcelona
DOI
BibTeX
@inproceedings{BUT103465,
  author="Michal {Kováčik} and Michal {Kajan} and Martin {Žádník}",
  title="Detecting IP-spoofing by modelling history of IP address entry points",
  booktitle="Emerging Management Mechanisms for the Future Internet",
  year="2013",
  series="Lecture Notes in Computer Science",
  journal="Lecture Notes in Computer Science",
  volume="7943",
  number="06",
  pages="73--83",
  publisher="Springer Verlag",
  address="Barcelona",
  doi="10.1007/978-3-642-38998-6\{_}9",
  isbn="978-3-642-38997-9",
  issn="0302-9743",
  url="https://www.fit.vut.cz/research/publication/10271/"
}
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