HoneyCY: A configurable unified management framework for open-source honeypot services

Andreas Christoforou, Harald Gjermundrød, Ioanna Dionysiou

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

2 Citations (Scopus)

Abstract

Given the sophisticated nature of cyber attacks, existing passive defensive techniques may soon deemed to be inadequate to protect network and data assets at a satisfactory level. On the other hand, active defenses are promising techniques that are based on a proactive strategy where one anticipates attacks and prepares for the neutralization of the threats. Honeypots are systems, either isolated production systems or emulated ones, that are configured to be deliberately vulnerable, with the ultimate goal to be probed and exploited by attackers. Honeypots are powerful tools, however the inadequate (or lack of) documentation and the high degree of configuration complexity are prohibitive factors in their deployment. In this paper, we present honeyCY, a system that integrates existing honeypots into a single system, offering visualization features via a web interface or an Android app.

Original languageEnglish
Title of host publicationProceedings - 19th Panhellenic Conference on Informatics, PCI 2015
PublisherAssociation for Computing Machinery
Pages161-164
Number of pages4
Volume01-03-October-2015
ISBN (Electronic)9781450335515
DOIs
Publication statusPublished - 1 Oct 2015
Event19th Panhellenic Conference on Informatics, PCI 2015 - Athens, Greece
Duration: 1 Oct 20153 Oct 2015

Other

Other19th Panhellenic Conference on Informatics, PCI 2015
CountryGreece
CityAthens
Period1/10/153/10/15

Keywords

  • Honeypot
  • Proactive defense
  • Unified management

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  • Cite this

    Christoforou, A., Gjermundrød, H., & Dionysiou, I. (2015). HoneyCY: A configurable unified management framework for open-source honeypot services. In Proceedings - 19th Panhellenic Conference on Informatics, PCI 2015 (Vol. 01-03-October-2015, pp. 161-164). Association for Computing Machinery. https://doi.org/10.1145/2801948.2802021