Publication detail

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

KOVÁČIK, M. KAJAN, M. ŽÁDNÍK, M.

Original Title

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

Type

article in a collection out of WoS and Scopus

Language

English

Original 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.

Keywords

IP spoofing detection, entry points, network modeling

Authors

KOVÁČIK, M.; KAJAN, M.; ŽÁDNÍK, M.

RIV year

2013

Released

25. 6. 2013

Publisher

Springer Verlag

Location

Barcelona

ISBN

978-3-642-38997-9

Book

Emerging Management Mechanisms for the Future Internet

Edition

Lecture Notes in Computer Science

ISBN

0302-9743

Periodical

Lecture Notes in Computer Science

Year of study

7943

Number

06

State

Federal Republic of Germany

Pages from

73

Pages to

83

Pages count

11

URL

https://www.fit.vut.cz/research/publication/10271/

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/"
}