dc.creatorBertacchini, Maximiliano
dc.creatorFierens, Pablo I.
dc.date2007-06-26
dc.date2022-05-05T18:01:58Z
dc.date.accessioned2023-07-15T06:26:10Z
dc.date.available2023-07-15T06:26:10Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/135730
dc.identifierhttps://publicaciones.sadio.org.ar/index.php/EJS/article/view/95
dc.identifierissn:1514-6774
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7476655
dc.descriptionThis paper extends a series of experiments performed by Schonlau et al. [1] on the detection of computer masqueraders (i.e. illegitimate users trying to impersonate legitimate ones). A compression-based classication algorithm called Normalized Compression Distance or NCD, developed by Vitányi et al. [2] is applied on the same data set. It is shown that the NCD-based approach performs as well as the methods previously tried by Schonlau et al. Future work, possible enhancements and directions of further research on this topic are presented as well.
dc.descriptionSociedad Argentina de Informática e Investigación Operativa
dc.formatapplication/pdf
dc.format31-42
dc.languageen
dc.rightshttp://creativecommons.org/licenses/by/4.0/
dc.rightsCreative Commons Attribution 4.0 International (CC BY 4.0)
dc.subjectCiencias Informáticas
dc.subjectKolmogorov complexity
dc.subjectcommand behavior
dc.subjectmasquerade detection
dc.subjectnormalized compression distance
dc.subjectsimilarity metrics
dc.titlePreliminary Results on Masquerader Detection using Compression Based Similarity Metrics
dc.typeArticulo
dc.typeArticulo


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