A biologically motivated computational architecture inspired in the human immunological system to quantify abnormal behaviors to detect presence of intruders

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dc.contributor.authorFlorez Choque, Omar
dc.contributor.authorCuadros Vargas, Ernesto
dc.date.accessioned2019-01-29T22:19:56Z
dc.date.available2019-01-29T22:19:56Z
dc.date.issued2006
dc.description.abstractIn this article is presented a detection model of intruders by using an architecture based in agents that imitates the principal aspects of the Immunological System, such as detection and elimination of antigens in the human body. This model is based on the hypothesis of an intruder which is a strange element in the system, whereby can exist mechanisms able to detect their presence. We will use recognizer agents of intruders (Lymphocytes-B) for such goal and macrophage agents (Lymphocytes-T) for alerting and reacting actions. The core of the system is based in recognizing abnormal patterns of conduct by agents (Lymphocytes-B), which will recognize anomalies in the behavior of the user, through a catalogue of Metrics that will allow us quantify the conduct of the user according to measures of behaviors and then we will apply Statistic and Data Minig technics to classify the conducts of the user in intruder or normal behavior. Our experiments suggest that both methods are complementary for this purpose. This approach was very flexible and customized in the practice for the needs of any particular system. © 2006 International Federation for Information Processing.es_PE
dc.description.uriTrabajo académicoes_PE
dc.identifier.doihttps://doi.org/10.1007/978-0-387-34733-2_10es_PE
dc.identifier.isbnurn:isbn:9780387346328es_PE
dc.identifier.issn15715736es_PE
dc.identifier.urihttps://hdl.handle.net/20.500.12590/15915
dc.language.isoenges_PE
dc.publisherScopuses_PE
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-37849185979&doi=10.1007%2f978-0-387-34733-2_10&partnerID=40&md5=92ddc5ad34848aad57115a2537ced28ces_PE
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_PE
dc.sourceRepositorio Institucional - UCSPes_PE
dc.sourceUniversidad Católica San Pabloes_PE
dc.sourceScopuses_PE
dc.subjectBehavioral researches_PE
dc.subjectDistributed computer systemses_PE
dc.subjectLymphocyteses_PE
dc.subjectAbnormal behaviores_PE
dc.subjectAbnormal patternses_PE
dc.subjectArchitecture-basedes_PE
dc.subjectComputational architecturees_PE
dc.subjectDetection modelses_PE
dc.subjectHuman bodieses_PE
dc.subjectImmunological systemes_PE
dc.subjectNormal behaviores_PE
dc.subjectComputer architecturees_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#1.02.00es_PE
dc.titleA biologically motivated computational architecture inspired in the human immunological system to quantify abnormal behaviors to detect presence of intruderses_PE
dc.typeinfo:eu-repo/semantics/article
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