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dc.contributor.advisorKnapskog, Svein Johannb_NO
dc.contributor.advisorChia, Pern Huinb_NO
dc.contributor.authorBoksasp, Trondnb_NO
dc.contributor.authorUtnes, Eivindnb_NO
dc.date.accessioned2014-12-19T14:15:05Z
dc.date.available2014-12-19T14:15:05Z
dc.date.created2012-11-08nb_NO
dc.date.issued2012nb_NO
dc.identifier566356nb_NO
dc.identifierntnudaim:7284nb_NO
dc.identifier.urihttp://hdl.handle.net/11250/262677
dc.description.abstractThis thesis investigates the permissions requested by Android applications, and the possibility of identifying suspicious applications based only on information presented to the user before an application is downloaded. During the course of this project, a large data set consisting of applications published on Google Play and three different third-party Android application markets was collected over a two-month period. These applications are analysed using manual pattern recognition and k-means clustering, focusing on the permissions they request. The pattern analysis is based on a smaller data set consisting of confirmed malicious applications. The method is evaluated based on its ability to recognise malicious potential in the analysed applications. The k-means clustering analysis takes the whole data set into consideration, in the attempt of uncovering suspicious patterns. This method is evaluated based on its ability to uncover distinct suspicious permission patterns and the findings acquired after further analysis of the clustering results.nb_NO
dc.languageengnb_NO
dc.publisherInstitutt for telematikknb_NO
dc.subjectntnudaim:7284no_NO
dc.subjectMSTCNNS Master of Telematics - Communication Networks and Networked Services (2 year)no_NO
dc.subjectInformasjonssikkerhetno_NO
dc.titleAndroid Apps and Permissions: Security and Privacy Risksnb_NO
dc.typeMaster thesisnb_NO
dc.source.pagenumber141nb_NO
dc.contributor.departmentNorges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for telematikknb_NO


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