Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/26414
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dc.contributor.authorZakria, Daralneem Esmail Ali
dc.contributor.authorSupervisor,- Faisal Mohammed Abdallah Ali
dc.date.accessioned2021-08-12T11:01:56Z
dc.date.available2021-08-12T11:01:56Z
dc.date.issued2020-03-12
dc.identifier.citationZakria, Daralneem Esmail Ali.Securing satellites images using Arnold map\ Daralneem Esmail Ali Zakria;Faisal Mohammed Abdallah Ali.-Khartoum: Sudan University of Science and Technology, College of Computer Science and Information technology, 2020 .- 45p. :ill. ;28cm .- M.Scen_US
dc.identifier.urihttp://repository.sustech.edu/handle/123456789/26414
dc.descriptionThesisen_US
dc.description.abstractthis research is based on encryption and decryption of satellite image while it is transmitted via communications media (private or public) the research proposed chaotic cryptography algorithms based on Arnold cat map chaotic system so Chaotic systems are a simple sub-type of nonlinear dynamical systems. They may contain very few interacting parts and these may follow very simple rules, but these systems all have a very sensitive dependence on their initial conditions the proposed algorithm is simple easy to use and efficiency in implementation so it is work in shuffle position image pixel manipulation firstly manipulate by DWT transform then use Arnold cat map algorithm for scrambling after examine this methodology by histogram analysis and adjacent autocorrelation the results of analysis is high level of security , confusion and diffusion during the entire process.en_US
dc.description.sponsorshipSudan University of Science & Technologyen_US
dc.language.isoenen_US
dc.publisherSudan University of Science & Technologyen_US
dc.subjectSecuring satellitesen_US
dc.subjectcomputeren_US
dc.subjectimages using Arnolden_US
dc.subjectmapen_US
dc.titleSecuring satellites images using Arnold mapen_US
dc.title.alternativeتأمين صور الاقمار الاصطناعية باستخدام خريطة ارنولدen_US
dc.typeThesisen_US
Appears in Collections:Masters Dissertations : Computer Science and Information Technology

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