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Please use this identifier to cite or link to this item: http://dspace.chitkara.edu.in/xmlui/handle/1/565

Authors: Handa, Disha
Keywords: PARALLEL
Issue Date: 31-Dec-2015
Abstract: Parallel computing involves simultaneous use of multiple compute resources to solve a large computational problem. In the real world applications, xix many of the tasks can be executed in parallel. Parallel computing is being used in diverse areas that range from computational simulations for technical and engineering problems to marketable applications in transaction processing and data mining. The performance and energy benefits of parallelism are key drivers for the growth in parallel computing. Data security is a critical issue for businesses and individual computer users. Client information, payment information, personal files, bank account details – information that is typically needed any commercial transaction is potentially dangerous if it falls into the wrong hands. Thus, to secure data or information, various cryptographic algorithms are being used. These encryption algorithms are compute-intensive and tend to be slow as a result. These algorithms can benefit significantly from parallel implementations that utilize multicore processors available today. In this thesis, parallel symmetric-key based algorithms to encrypt/decrypt large sets of data have been proposed. The design of the parallel algorithms is targeting speed and energy consumption improvements for these algorithms. Much effort has gone in to enhance the speed of these algorithms using FPGA-based hardware implementations in recent times. The thesis proposes software-based parallel implementations of these security algorithms running on symmetric multiprocessing machines. The performance of proposed parallel algorithms with the existing sequential implementations of the algorithms has been compared. The comparisons of results show that the proposed algorithms have significantly better performance than the existing sequential algorithms. Apart from the speedup gained due to parallel implementation, the energy efficiency of the algorithms has also been measured. Energy-efficient parallel algorithms make them suitable for their use in the handheld devices. The proposed algorithms in this thesis have a high potential for their adoption in the area of full-disk encryption and other data-intensive encryption processes.
URI: http://dspace.chitkara.edu.in/xmlui/handle/1/565
Appears in Collections:Phd Thesis 2015 HP

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