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In this thesis, a completely revisited data protection scheme based onselective encryption is presented. First, this new scheme is agnostic in termof data format, second it has a parallel architecture using GPGPU allowingperformance to be at least comparable to full encryption algorithms.  Bitmap, as a special uncompressed multimedia format, is addressed as a firstuse case. Discrete Cosine Transform (DCT) is the first transformation forsplitting fragments, getting data protection, and storing data separately onlocal device and cloud servers. This work has largely improved the previouspublished ones for bitmap protection by providing new designs and practicalexperimentations. General purpose graphic processing unit (GPGPU) is exploitedas an accelerator to guarantee the efficiency of the calculation compared withtraditional full encryption algorithms. Then, an agnostic selective encryptionbased on lossless Discrete Wavelet Transform (DWT) is presented. This design,with practical experimentations on different hardware configurations, providesstrong level of protection and good performance at the same time plus flexiblestorage dispersion schemes. Therefore, our agnostic data protection andtransmission solution combining fragmentation, encryption, and dispersion ismade available for a wide range of end-user applications. Also a complete setof security analysis are deployed to test the level of provided protection.

An Efficient Data Protection Architecture Based on Fragmentation and Encryption