Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/71698

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dc.contributor.authorCosteira, Ricardopor
dc.contributor.authorSantos, Henriquepor
dc.date.accessioned2021-04-14T11:32:29Z-
dc.date.available2021-04-14T11:32:29Z-
dc.date.issued2016-
dc.identifier.isbn978-1-61208-512-8-
dc.identifier.urihttps://hdl.handle.net/1822/71698-
dc.description.abstractIn this paper we discuss a solution to detect data leaks in an intelligent and furtive way through a real time analysis of the user’s behaviour while handling classified information. Data is based on experiences with real world use cases and a variety of data preparation and data analysis techniques have been tried. Results show the feasibility of the approach, but also the necessity to correlate with other security events to improve the precision.por
dc.description.sponsorshipUID/CEC/00319/2013por
dc.language.isoengpor
dc.publisherInternational Academy, Research, and Industry Association (IARIA)por
dc.rightsopenAccesspor
dc.subjectAnomaly Detectionpor
dc.subjectMachine Learningpor
dc.subjectData Miningpor
dc.subjectSupport Vector Machinespor
dc.titleIntelligent data leak detection through behavioural analysispor
dc.typeconferencePaperpor
dc.peerreviewedyespor
dc.relation.publisherversionhttps://www.thinkmind.org/download.php?articleid=cyber_2016_2_10_80026por
sdum.publicationstatusinfo:eu-repo/semantics/publishedVersionpor
oaire.citationStartPage17por
oaire.citationEndPage26por
oaire.citationConferencePlaceVenice, Italypor
oaire.citationTitleCYBER 2016, The First International Conference on Cyber-Technologies and Cyber-Systemspor
dc.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informáticapor
sdum.conferencePublicationThe First International Conference on Cyber-Technologies and Cyber-Systems, CYBER 2016por
Aparece nas coleções:CAlg - Artigos em revistas internacionais / Papers in international journals

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