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dc.contributor.authorPinzón Trejos, Cristian
dc.contributor.authorDe Paz, Juan
dc.contributor.authorBajo, Javier
dc.contributor.authorNavarro, Martí
dc.contributor.authorZato, Carolina
dc.contributor.authorJulián, Vicente
dc.date.accessioned2018-06-07T19:25:57Z
dc.date.accessioned2018-06-07T19:25:57Z
dc.date.available2018-06-07T19:25:57Z
dc.date.available2018-06-07T19:25:57Z
dc.date.issued07/26/2010
dc.date.issued07/26/2010
dc.identifier.urihttp://ridda2.utp.ac.pa/handle/123456789/4889
dc.identifier.urihttp://ridda2.utp.ac.pa/handle/123456789/4889
dc.descriptionSecurity is one of the main aspects to take into account when designing and developing web services. A meaning number of mechanisms of attack can lead to a web service system crash. As a result, the web service cannot allow the access to authorized users. This type of attacks is so-called as denial of service attack (DoS) which affects the availability of the services and resources. This paper presents an approach to detect and classify DoS attacks, based on Case-based Reasoning methodology where heterogeneous data are merged in order to obtain a set of cases that reflect previous analysis. The proposal has two peculiarities: (i) when a web service is attacked, this possible attack is studied by different analysers, distributing previous experiences among the analysers, in order to classify attacks in a better way; and (ii) the analysis process against attacks is temporal bounded allowing its use in environments with temporal constraints.en_US
dc.description.abstractSecurity is one of the main aspects to take into account when designing and developing web services. A meaning number of mechanisms of attack can lead to a web service system crash. As a result, the web service cannot allow the access to authorized users. This type of attacks is so-called as denial of service attack (DoS) which affects the availability of the services and resources. This paper presents an approach to detect and classify DoS attacks, based on Case-based Reasoning methodology where heterogeneous data are merged in order to obtain a set of cases that reflect previous analysis. The proposal has two peculiarities: (i) when a web service is attacked, this possible attack is studied by different analysers, distributing previous experiences among the analysers, in order to classify attacks in a better way; and (ii) the analysis process against attacks is temporal bounded allowing its use in environments with temporal constraints.en_US
dc.formatapplication/pdf
dc.languageeng
dc.language.isoengen_US
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectmixture of expertsen_US
dc.subjectCBRen_US
dc.subjecttemporal-bounded processen_US
dc.subjectmixture of experts
dc.subjectCBR
dc.subjecttemporal-bounded process
dc.titleTemporal bounded reasoning for context-based information fusion in DoS attack detectionen_US
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion


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