Empirical analysis and statistical modeling of attack processes based on honeypots

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dc.creatorKaaniche, Mohamed
dc.creatorDeswarte, Y.
dc.creatorAlata, Eric
dc.creatorDacier, Marc
dc.creatorNicomette, Vincent
dc.date2007-04-06
dc.date.accessioned2026-07-07T07:55:34Z
dc.date.available2026-07-07T07:55:34Z
dc.descriptionHoneypots are more and more used to collect data on malicious activities on the Internet and to better understand the strategies and techniques used by attackers to compromise target systems. Analysis and modeling methodologies are needed to support the characterization of attack processes based on the data collected from the honeypots. This paper presents some empirical analyses based on the data collected from the Leurr{é}.com honeypot platforms deployed on the Internet and presents some preliminary modeling studies aimed at fulfilling such objectives.
dc.identifierhttps://arxiv.org/abs/0704.0861
dc.identifierhttp://arxiv.org/abs/0704.0861
dc.identifierIEEE/IFIP International Conference on Dependable Systems and Networks (DSN-2006) (25/06/2006) 119-124
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/127009
dc.subjectPerformance
dc.subjectCryptography and Security
dc.titleEmpirical analysis and statistical modeling of attack processes based on honeypots
dc.typetext

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