Secure 2D barcodes based on visual cryptography

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dc.contributor.advisor Focardi, Riccardo it_IT
dc.contributor.author Moretto, Tommaso <1992> it_IT
dc.date.accessioned 2018-06-20 it_IT
dc.date.accessioned 2018-12-03T06:21:54Z
dc.date.available 2018-12-03T06:21:54Z
dc.date.issued 2018-07-11 it_IT
dc.identifier.uri http://hdl.handle.net/10579/13391
dc.description.abstract In this thesis we investigate the application of visual cryptography to enforce 2D barcode confidentiality. The approach of visual cryptography is appealing because 2D barcodes are indeed images, but it presents non-trivial challenges. First of all, visual cryptography aims at sharing a unique secret between two or more participants while here we would like to provide each participant with a visual decryption key that can be used to recover the participant's distinguished secret; moreover, visual cryptography assumes that images are pre-shared among participants which is not practical in many situations. We contribute to the state-of-the-art by implementing and experimenting with two extensions to visual cryptography proposed together with the colleague Nicolò Ghiotto. The first scheme allows for generating a single visual ciphertext that can be decrypted by each participant’s visual key, giving a different (plaintext) 2D barcode. This scheme presents a practical limitation: the visual key is a random image that is very hard to scan and needs to be pre-shared. The second scheme extends the first one by permitting to derive the visual key from a password using what we call a visual key derivation function. This removes the limitation of the first scheme but introduces a scalability issue for what concerns the number of participants. We present experiments and discuss limitations with respect to real use cases. it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Tommaso Moretto, 2018 it_IT
dc.title Secure 2D barcodes based on visual cryptography it_IT
dc.title.alternative Secure 2D barcodes based on visual cryptography 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 844996 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 Tommaso Moretto (844996@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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