Visual Cryptography Schemes with Multiple Secrets and Visual Key Derivation

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dc.contributor.advisor Focardi, Riccardo it_IT
dc.contributor.author Ghiotto, Nicolo' <1994> it_IT
dc.date.accessioned 2018-06-20 it_IT
dc.date.accessioned 2018-12-03T06:20:58Z
dc.date.available 2018-12-03T06:20:58Z
dc.date.issued 2018-07-11 it_IT
dc.identifier.uri http://hdl.handle.net/10579/13323
dc.description.abstract Visual Cryptography was introduced in 1995 by Naor and Shamir to recover a secret image by overlapping two or more images. This scheme is secure and easy to implement and can be extended to a set of participants in order to recover the same secret image. In this thesis, we propose two new schemes that use a shared image to encode a different secret image for each participant. In the first scheme, we generate a visual cyphertext from a shared key for each participant. Since the shared key is computed a priori, we can add a new participant at any given time and generate her cyphertext, ensuring scalability. In the second scheme, we make the approach more practical by applying a visual key derivation function in order to let each participant derive her visual cyphertext from a different password for each participant. This is a joint work with colleague Tommaso Moretto, who has developed implementations and performed practical experiments on these new schemes applied to barcode confidentially. it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Nicolo' Ghiotto, 2018 it_IT
dc.title Visual Cryptography Schemes with Multiple Secrets and Visual Key Derivation it_IT
dc.title.alternative Visual Cryptography Schemes with Multiple Secrets and Visual Key Derivation it_IT
dc.type Master's Degree Thesis it_IT
dc.degree.name Informatica - computer science it_IT
dc.degree.level Laurea magistrale it_IT
dc.degree.grantor Dipartimento di Scienze Ambientali, Informatica e Statistica it_IT
dc.description.academicyear 2017/2018, sessione estiva it_IT
dc.rights.accessrights openAccess it_IT
dc.thesis.matricno 846886 it_IT
dc.subject.miur INF/01 INFORMATICA it_IT
dc.description.note it_IT
dc.degree.discipline it_IT
dc.contributor.co-advisor it_IT
dc.date.embargoend it_IT
dc.provenance.upload Nicolo' Ghiotto (846886@stud.unive.it), 2018-06-20 it_IT
dc.provenance.plagiarycheck Riccardo Focardi (focardi@unive.it), 2018-07-02 it_IT


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