Finding and Analyzing Evil Cities on the Internet

Matthijs G.T. van Polen, Giovane Moreira Moura, Aiko Pras

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

  • 5 Citations

Abstract

IP Geolocation is used to determine the geographical location of Internet users based on their IP addresses. When it comes to security, most of the traditional geolocation analysis is performed at country level. Since countries usually have many cities/towns of different sizes, it is expected that they behave differently when performing malicious activities. Therefore, in this paper we refine geolocation analysis to the city level. The idea is to find the most dangerous cities on the Internet and observe how they behave. This information can then be used by security analysts to improve their methods and tools. To perform this analysis, we have obtained and evaluated data from a real-world honeypot network of 125 hosts and from production e-mail servers.
LanguageUndefined
Title of host publicationProceedings of the 5th International Conference on Autonomous Infrastructure, Management and Security (AIMS)
EditorsIsabelle Chrisment, Alva Couch, Rémi Badonnel, Martin Waldburger
Place of PublicationNancy, France
PublisherSpringer Verlag
Pages38-48
Number of pages12
ISBN (Print)978-3-642-21483-7
DOIs
StatePublished - 2011
Event5th International Conference on Autonomous Infrastructure, Management and Security 2011 - Ecole Supérieure d'Informatique et Applications de Lorraine, Nancy, France
Duration: 13 Jun 201117 Jun 2011
Conference number: 5
http://www.aims-conference.org/2011/AIMS2011/Welcome.html

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Verlag
Volume6734
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Conference on Autonomous Infrastructure, Management and Security 2011
Abbreviated titleAIMS 2011
CountryFrance
CityNancy
Period13/06/1117/06/11
Internet address

Keywords

  • METIS-277609
  • EWI-20081
  • IR-76708

Cite this

van Polen, M. G. T., Moreira Moura, G., & Pras, A. (2011). Finding and Analyzing Evil Cities on the Internet. In I. Chrisment, A. Couch, R. Badonnel, & M. Waldburger (Eds.), Proceedings of the 5th International Conference on Autonomous Infrastructure, Management and Security (AIMS) (pp. 38-48). (Lecture Notes in Computer Science; Vol. 6734). Nancy, France: Springer Verlag. DOI: 10.1007/978-3-642-21484-4_4
van Polen, Matthijs G.T. ; Moreira Moura, Giovane ; Pras, Aiko. / Finding and Analyzing Evil Cities on the Internet. Proceedings of the 5th International Conference on Autonomous Infrastructure, Management and Security (AIMS). editor / Isabelle Chrisment ; Alva Couch ; Rémi Badonnel ; Martin Waldburger. Nancy, France : Springer Verlag, 2011. pp. 38-48 (Lecture Notes in Computer Science).
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van Polen, MGT, Moreira Moura, G & Pras, A 2011, Finding and Analyzing Evil Cities on the Internet. in I Chrisment, A Couch, R Badonnel & M Waldburger (eds), Proceedings of the 5th International Conference on Autonomous Infrastructure, Management and Security (AIMS). Lecture Notes in Computer Science, vol. 6734, Springer Verlag, Nancy, France, pp. 38-48, 5th International Conference on Autonomous Infrastructure, Management and Security 2011, Nancy, France, 13/06/11. DOI: 10.1007/978-3-642-21484-4_4

Finding and Analyzing Evil Cities on the Internet. / van Polen, Matthijs G.T.; Moreira Moura, Giovane; Pras, Aiko.

Proceedings of the 5th International Conference on Autonomous Infrastructure, Management and Security (AIMS). ed. / Isabelle Chrisment; Alva Couch; Rémi Badonnel; Martin Waldburger. Nancy, France : Springer Verlag, 2011. p. 38-48 (Lecture Notes in Computer Science; Vol. 6734).

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

TY - GEN

T1 - Finding and Analyzing Evil Cities on the Internet

AU - van Polen,Matthijs G.T.

AU - Moreira Moura,Giovane

AU - Pras,Aiko

N1 - 10.1007/978-3-642-21484-4_4

PY - 2011

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N2 - IP Geolocation is used to determine the geographical location of Internet users based on their IP addresses. When it comes to security, most of the traditional geolocation analysis is performed at country level. Since countries usually have many cities/towns of different sizes, it is expected that they behave differently when performing malicious activities. Therefore, in this paper we refine geolocation analysis to the city level. The idea is to find the most dangerous cities on the Internet and observe how they behave. This information can then be used by security analysts to improve their methods and tools. To perform this analysis, we have obtained and evaluated data from a real-world honeypot network of 125 hosts and from production e-mail servers.

AB - IP Geolocation is used to determine the geographical location of Internet users based on their IP addresses. When it comes to security, most of the traditional geolocation analysis is performed at country level. Since countries usually have many cities/towns of different sizes, it is expected that they behave differently when performing malicious activities. Therefore, in this paper we refine geolocation analysis to the city level. The idea is to find the most dangerous cities on the Internet and observe how they behave. This information can then be used by security analysts to improve their methods and tools. To perform this analysis, we have obtained and evaluated data from a real-world honeypot network of 125 hosts and from production e-mail servers.

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KW - EWI-20081

KW - IR-76708

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van Polen MGT, Moreira Moura G, Pras A. Finding and Analyzing Evil Cities on the Internet. In Chrisment I, Couch A, Badonnel R, Waldburger M, editors, Proceedings of the 5th International Conference on Autonomous Infrastructure, Management and Security (AIMS). Nancy, France: Springer Verlag. 2011. p. 38-48. (Lecture Notes in Computer Science). Available from, DOI: 10.1007/978-3-642-21484-4_4