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dc.contributor.authorPinzón Trejos, Cristian
dc.contributor.authorDe Paz, Juan
dc.contributor.authorNavarro, Martí
dc.contributor.authorBajo, Javier
dc.contributor.authorJulián, Vicente
dc.contributor.authorCorchado, Juan
dc.date.accessioned2018-06-05T20:06:04Z
dc.date.accessioned2018-06-05T20:06:04Z
dc.date.available2018-06-05T20:06:04Z
dc.date.available2018-06-05T20:06:04Z
dc.date.issued10/01/2010
dc.date.issued10/01/2010
dc.identifierhttps://www.sciencedirect.com/science/article/pii/S1568494610003108
dc.identifier.urihttp://ridda2.utp.ac.pa/handle/123456789/4787
dc.identifier.urihttp://ridda2.utp.ac.pa/handle/123456789/4787
dc.descriptionSecurity is a major concern when service environments are implemented. This has led to the proposal of a variety of specifications and proposals based on soft computing methods to provide the necessary security for these environments. However, most proposed approaches focus only on ensuring confidentiality and integrity, without putting forward mechanisms that ensure the availability of services and resources offered. A considerable number of attack mechanisms can lead to a web service system crash. As a result, the web service cannot allow access to authorized users. This type of attack is a so-called denial of service attack (DoS) which affects the availability of the services and recourses available. This article presents a novel soft computing-based approach to cope with DoS attacks, but unlike existing solutions, our proposal takes into account the different soft computing mechanisms that can lead to a DoS attack. Our approach is based on a real time classifier agent that incorporates a mixture of experts to choose a specific classification technique depending on the feature of the attack and the time available to solve the classification. With this scheme it is possible to divide the problem into subproblems, solving the classification of the web service requests in a more simple and effective way and always within a time bound interval. This research presents a case study to evaluate the effectiveness of the approach and also presents the preliminary results obtained with an initial prototype.en_US
dc.description.abstractSecurity is a major concern when service environments are implemented. This has led to the proposal of a variety of specifications and proposals based on soft computing methods to provide the necessary security for these environments. However, most proposed approaches focus only on ensuring confidentiality and integrity, without putting forward mechanisms that ensure the availability of services and resources offered. A considerable number of attack mechanisms can lead to a web service system crash. As a result, the web service cannot allow access to authorized users. This type of attack is a so-called denial of service attack (DoS) which affects the availability of the services and recourses available. This article presents a novel soft computing-based approach to cope with DoS attacks, but unlike existing solutions, our proposal takes into account the different soft computing mechanisms that can lead to a DoS attack. Our approach is based on a real time classifier agent that incorporates a mixture of experts to choose a specific classification technique depending on the feature of the attack and the time available to solve the classification. With this scheme it is possible to divide the problem into subproblems, solving the classification of the web service requests in a more simple and effective way and always within a time bound interval. This research presents a case study to evaluate the effectiveness of the approach and also presents the preliminary results obtained with an initial prototype.en_US
dc.formatapplication/pdf
dc.formattext/html
dc.languageeng
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectService-oriented architecturesen_US
dc.subjectSecurityen_US
dc.subjectMulti-agent systemsen_US
dc.subjectCase-based reasoningen_US
dc.subjectReal timeen_US
dc.subjectService-oriented architectures
dc.subjectSecurity
dc.subjectMulti-agent systems
dc.subjectCase-based reasoning
dc.subjectReal time
dc.titleReal-time CBR-agent with a mixture of experts in the reuse stage to classify and detect DoS attacksen_US
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion


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