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dc.contributor.authorBayoumy, Yara
dc.contributor.authorMeland, Per Håkon
dc.contributor.authorSindre, Guttorm
dc.date.accessioned2019-04-26T07:20:08Z
dc.date.available2019-04-26T07:20:08Z
dc.date.created2018-12-13T13:53:54Z
dc.date.issued2018
dc.identifier.isbn978-1-5386-4565-9
dc.identifier.urihttp://hdl.handle.net/11250/2595589
dc.description.abstractFor more than a decade, businesses and private citizens alike have been tormented by an online phenomenon that has changed our stance on cyber security. Ransomware, malicious software that demands payment in exchange for a stolen functionality, has grown beyond expectations. The development and distribution of ransomware is stimulated by social networks active in the Dark Net. From the cyber criminal perspective, this is an ideal platform to participate in a business ecosystem, either as an author, vendor or distributor of ransomware. Within the Dark Net, they can find forums and marketplaces that offer complete secrecy and concealment of the user's identity. Studying the activities taking place within the Dark Net sites can improve our situational awareness on upcoming threats and how we can defend against them. In this research, a netnographic study was done to obtain useful data such as observations of the marketplace economies and reflections on the social interactions between the different stakeholders involved in the creation and distribution of ransomware.nb_NO
dc.language.isoengnb_NO
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)nb_NO
dc.relation.ispartof2018 International Conference On Cyber Situational Awareness, Data Analytics And Assessment (Cyber SA), Glasgow UK, 11-12 June 2018
dc.titleA Netnographic Study on the Dark Net Ecosystem for Ransomwarenb_NO
dc.typeChapternb_NO
dc.description.versionacceptedVersionnb_NO
dc.identifier.doi10.1109/CyberSA.2018.8551424
dc.identifier.cristin1642718
dc.relation.projectNorges forskningsråd: 259869nb_NO
dc.description.localcode© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.nb_NO
cristin.unitcode194,0,0,0
cristin.unitcode194,63,10,0
cristin.unitnameNorges teknisk-naturvitenskapelige universitet
cristin.unitnameInstitutt for datateknologi og informatikk
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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