Towards privacy-anomaly detection: Discovering correlation between privacy and security-anomalies

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dc.contributor.authorKhan, Muhammad Imran
dc.contributor.authorFoley, Simon N.
dc.contributor.authorO'Sullivan, Barry
dc.contributor.funderScience Foundation Irelanden
dc.contributor.funderEuropean Regional Development Funden
dc.date.accessioned2021-02-24T11:04:33Z
dc.date.available2021-02-24T11:04:33Z
dc.date.issued2020-08-06
dc.date.updated2021-02-24T10:58:01Z
dc.descriptionPart of special issue: The 17th International Conference on Mobile Systems and Pervasive Computing (MobiSPC), The 15th International Conference on Future Networks and Communications (FNC),The 10th International Conference on Sustainable Energy Information Technologyen
dc.description.abstractIn this paper a notion of privacy-anomaly detection is presented where normative privacy is modelled using k-anonymity. Based on the model, normative privacy-profiles are constructed, and deviation from normative privacy-profile at runtime is labelled as a privacy-anomaly. Furthermore, the paper investigates whether there is a correlation between security-anomalies and privacy-anomalies, that is, whether the privacy-anomalies labelled by privacy-anomaly detection system are detected by conventional security-anomaly detection system used for detecting malicious accesses to databases by insiders.en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationKhan, M. I., Foley, S. N. and O’Sullivan, B. (2020) 'Towards Privacy-anomaly Detection: Discovering Correlation between Privacy and Security-anomalies', Procedia Computer Science, 175, pp. 331-339. doi: 10.1016/j.procs.2020.07.048en
dc.identifier.doi10.1016/j.procs.2020.07.048en
dc.identifier.endpage339en
dc.identifier.journaltitleProcedia Computer Scienceen
dc.identifier.startpage331en
dc.identifier.urihttps://hdl.handle.net/10468/11103
dc.identifier.volume175en
dc.language.isoenen
dc.publisherElsevieren
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres/12/RC/2289/IE/INSIGHT - Irelands Big Data and Analytics Research Centre/en
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S1877050920317294
dc.rights© 2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectAnomaly detectionen
dc.subjectAnonymizationen
dc.subjectElectronic privacyen
dc.subjectK-anonymityen
dc.subjectRelational databasesen
dc.titleTowards privacy-anomaly detection: Discovering correlation between privacy and security-anomaliesen
dc.typeArticle (peer-reviewed)en
dc.typeConference itemen
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