Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/23890
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dc.contributor.authorSileman, Zahraa Altayeb Mohammed-
dc.contributor.authorSupervisor, - Faisal Mohammed Abdalla Ali-
dc.date.accessioned2019-11-26T08:21:34Z-
dc.date.available2019-11-26T08:21:34Z-
dc.date.issued2019-07-01-
dc.identifier.citationSileman, Zahraa Altayeb Mohammed.Preservation of Multimedia Confidentiality using Elliptic Curve\Zahraa Altayeb Mohammed Sileman;Faisal Mohammed Abdalla Ali.-Khartoum:Sudan University of Science & Technology,College of Computer Science and Information Technology,2019.-57p.:ill.;28cm.-M.Sc.en_US
dc.identifier.urihttp://repository.sustech.edu/handle/123456789/23890-
dc.descriptionThesisen_US
dc.description.abstractToday data security over the network is a serious concern as the amount of multimedia data is increasing at an exponential rate due to evolution of internet. Video encryption has various fields including internet communication, multimedia systems, medical imaging and military communication. To secure video, the data must be encrypted before transmission. Cryptographic algorithms are used to encrypt the video data and to achieve high confidentiality. In this thesis Elliptic curve cryptography (ECC) method is used to encrypt video with line _cut scrambling techniques to provide the real time encryption. In order to reduce the video size Discrete Cosine Transform (DCT) is used. The proposed method increases video encoding speed and can be used in real time application. The results obtained are analyzed using standard metrics such as PSNR and MSE gives optimum results.en_US
dc.description.sponsorshipSudan University of Science and Technologyen_US
dc.language.isoenen_US
dc.publisherSudan University of Science & Technologyen_US
dc.subjectMultimedia Confidentialityen_US
dc.subjectElliptic Curveen_US
dc.titlePreservation of Multimedia Confidentiality using Elliptic Curveen_US
dc.title.alternativeالحفاظ على سرية الوسائط المتعددة باستخدام المنحنى الإهليلجيen_US
dc.typeThesisen_US
Appears in Collections:Masters Dissertations : Computer Science and Information Technology

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